Frequently Asked Questions

Debut Infotech offers four pricing models:

• Fixed Price — total cost and scope agreed upfront, starting from $15,000. Suited to well-defined deliverables such as MVPs, PoC builds, and scoped features
• Time & Materials — billed on actual hours at agreed rates from $20/hr. The standard model for Agile builds with evolving requirements. Around 70–80% of projects run this way
• Dedicated Team — a defined team allocated at a fixed monthly retainer from $3,200/month per resource. No minimum contract duration
• Hybrid — a structured combination of models applied across project phases. Standard for enterprise and multi-phase engagements

The recommended default for most projects is T&M with Estimated Cost Cap — Agile scope flexibility with a defined budget ceiling and sprint-wise visibility.

Full Pricing Guide →

Project cost depends on scope complexity, technology stack, team composition, integration requirements, and timeline. Indicative ranges: Fixed Price MVPs from $15,000 · Full product builds from $40,000 · Enterprise platforms vary significantly based on scope. Hourly rates: $20–$25/hr (full-stack, mobile) · $28/hr (blockchain, AI/ML). Monthly dedicated team rates: $3,200–$4,480/month depending on role. A ballpark cost estimate is provided within 24–48 hours of an initial consultation at no charge.

The estimation process at Debut Infotech runs in two stages:

• Ballpark estimate — delivered within 24–48 hours of an initial call for projects with a reasonably clear brief. Gives you a directional cost range to assess feasibility
• Detailed estimate — produced after a structured scoping session covering requirements, architecture, integration complexity, and team composition. Delivered as a workstream-level breakdown that forms the basis of the engagement agreement

The first consultation is free. No commitment is required to receive either estimate.

Budget management varies by pricing model. On Fixed Price, the total cost is agreed before work begins — there are no surprises unless scope changes are introduced. On T&M engagements, Debut Infotech defaults to a T&M with Estimated Cost Cap structure: a defined cost ceiling, sprint roadmap, and monthly resource plan are agreed upfront so budget stays visible throughout delivery. There are no hidden costs — project management, communication, and standard tooling are included. Any additional cost driver is communicated before it is incurred.

Yes. Both ballpark and detailed estimates are provided at no charge. The first consultation call is free, and no commitment is required at any stage of the estimation process. Detailed estimates for complex enterprise projects require a structured scoping session, which is also complimentary.

Fixed Price projects use milestone-based payment schedules agreed at engagement initiation — typically split across discovery, development, QA, and delivery milestones. T&M engagements are billed monthly against actual hours logged. Dedicated Team engagements are billed monthly at the agreed retainer rate. Specific payment terms are documented in the engagement agreement before work begins.

If you're planning a digital product, AI solution, blockchain platform, mobile app, or enterprise software system, you can reach the Debut Infotech team through our website contact form, email info@debutinfotech.com, call +1-708-515-4004, or message us on WhatsApp at +91 98885 52396. Our team will review your requirements and connect you with the right consultant or technology specialist.

NDAs are signed before any proprietary project discussion. Debut Infotech has a standard mutual NDA template available for immediate execution. Client-provided NDA templates are also accepted and reviewed by the legal team — turnaround on client template review is typically 24–48 hours. NDAs can be executed at the initial outreach stage, before any project details are shared.

Timeline estimation is based on scope decomposition — breaking the project into workstreams, feature sets, and technical tasks, then mapping required effort to calendar time, accounting for team capacity, integration complexity, review cycles, and testing. Ballpark timelines are available within 24–48 hours of an initial brief. Detailed timelines are produced during the scoping session and documented in the project plan before engagement starts.

You can book a consultation directly through our meeting link. For quick coordination, you can also email info@debutinfotech.com, call +1-708-515-4004, or chat with us on WhatsApp at +91 98885 52396. To make the discussion more productive, share your project type, business objective, timeline, target users, and any key questions you want our team to address.

Yes. Debut Infotech conducts technical feasibility assessments as standalone consulting engagements. A feasibility study covers technical viability of the proposed solution, technology stack recommendations, build vs. buy analysis, high-level architecture options, risk identification, and indicative cost and timeline range. Output is a structured feasibility report. This is often a precursor to a full development engagement.

Yes. Debut Infotech can be engaged at any stage of a software project — from greenfield discovery through to taking over an existing codebase mid-development or providing post-launch maintenance. For mid-project engagements, an initial code and architecture review is conducted to assess the current state before the engagement scope is confirmed.

Integration into client infrastructure is handled during the onboarding phase. Debut Infotech adapts to the client's existing toolchain — version control systems, CI/CD pipelines, project management platforms, communication tools, and cloud environments. The team does not require clients to adopt new tooling unless there is a specific technical reason to do so. Access provisioning, environment setup, and workflow alignment are completed within the first 48–72 hours of engagement start.

Onboarding follows a structured process:

• Day 1: Contract and NDA execution, team introduction, tooling access provisioning
• Day 1–2: Codebase walkthrough (if applicable), architecture review, environment setup
• Day 2–3: Sprint zero — backlog creation, priority alignment, workflow and communication cadence agreement
• Day 3–4: First sprint planning session, development kickoff

For dedicated team engagements, onboarding is completed within 48–72 hours of engagement confirmation.

Yes. Debut Infotech has experience transitioning projects from other vendors. The handover process begins with a technical audit of the existing codebase, infrastructure, and documentation. Based on the audit findings, Debut provides a transition plan covering remediation priorities, architecture recommendations (if relevant), and an onboarding timeline. The previous vendor's code is treated as the starting point — not discarded — unless the audit identifies a rebuild as the faster path.

Every engagement at Debut Infotech is assigned a dedicated project manager who serves as the primary point of contact for the client. The project manager handles day-to-day communication, sprint reporting, issue escalation, and stakeholder updates. For technical queries, a technical lead is available for direct engagement. Contact details for both are provided at engagement start.

Yes. All Dedicated Team engagements include a 7-day risk-free trial. If you are not satisfied with the team's performance or fit within the first seven days, you pay nothing and the engagement is concluded at no cost. For Fixed Price and T&M engagements, a structured discovery and scoping phase at the outset serves a similar alignment function — ensuring both parties agree on approach before the main build begins.

Yes. SLAs are available for ongoing support, maintenance, and managed service engagements. An SLA defines response times, resolution targets, uptime commitments, escalation procedures, and service credit terms. For development engagements, delivery timelines and milestone commitments are documented in the engagement agreement. Clients with specific SLA requirements are encouraged to raise these during the commercial discussion phase.

Debut Infotech uses open-source software and third-party libraries in accordance with their respective licence terms. During development, licence compatibility is reviewed as part of the architecture and dependency management process. Where commercial licences are required — for third-party APIs, frameworks, or services — these are identified at scoping stage and the cost and procurement responsibility is agreed with the client before the dependency is introduced into the build.

Debut Infotech follows Agile methodology across all development engagements. Delivery is structured in two-week sprints with sprint planning, daily standups, sprint reviews, and retrospectives. A dedicated project manager oversees delivery against the agreed plan. Clients receive weekly progress reports, milestone updates, and direct team access throughout. For Fixed Price projects, phase-gate reviews are conducted at each milestone before the next phase is authorised.

All dedicated team engagements include a guaranteed minimum 2-hour overlapping work window with the client's timezone. For clients in North America, Europe, or the Middle East, this overlap is built into the team's working schedule from day one. Daily standups, sprint ceremonies, and ad-hoc calls are scheduled within this window. Asynchronous communication via Slack or Teams handles updates outside overlap hours.

Communication is structured around three layers:

• Daily — async standups and sprint progress updates via Slack or Teams
• Weekly — progress report, sprint velocity summary, upcoming deliverables, and blockers shared with the client by the project manager
• Sprint cadence — sprint planning, review, and retrospective calls with full team and client stakeholders

Debut Infotech adapts to the client's preferred communication platform, including Slack, Microsoft Teams, Zoom, and others.

Standard tools include Jira and Linear for sprint and issue tracking, GitHub and GitLab for version control and PR review, Figma for design collaboration, Slack and Microsoft Teams for communication, and Zoom or Google Meet for video calls. Clients with existing tooling are integrated directly into those systems without requiring adoption of new platforms.

Scope change handling depends on the pricing model. On T&M and Dedicated Team engagements, changes are incorporated into the sprint backlog and prioritised at the next sprint planning — no formal process is required, though large changes may be flagged for timeline discussion. On Fixed Price engagements, changes outside the agreed spec are handled through a formal change request: impact on cost and timeline is assessed and communicated before work proceeds. No scope change is implemented on Fixed Price without the client's sign-off.

Debut Infotech manages delivery risk through sprint-level tracking, early identification of blockers in daily standups, and proactive stakeholder communication when a delivery risk is identified — not after a deadline is missed. For significant technical challenges, the architecture and solutions team is available for rapid escalation and problem-solving. Where delays are unavoidable, revised timelines are communicated immediately with a clear recovery plan.

Debut Infotech applies automation across the delivery pipeline including: automated testing (unit, integration, end-to-end), CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) for continuous build and deployment, automated code quality checks and static analysis (ESLint, SonarQube), infrastructure provisioning via Infrastructure as Code (Terraform), and automated performance and security scanning as part of the release pipeline.

Scalability is addressed at architecture design — before code is written. Debut Infotech designs for horizontal and vertical scaling from the outset using cloud-native patterns (containerisation, microservices where appropriate, stateless services, managed databases), load balancing, and caching strategies. For SaaS platforms, multi-tenant architecture with tenant isolation and independent scaling is standard. Performance baselines are established during QA, and load testing is conducted for traffic-sensitive systems before go-live.

Debut Infotech's AI engineering services include:

• AI agent integration and agentic workflow development
• Enterprise AI copilot development
• Generative AI development and LLM integration
• RAG (Retrieval-Augmented Generation) pipeline development
• LLM fine-tuning on client datasets
• AI workflow automation and AI process automation
• AI chatbot and virtual assistant development
• AI-powered product feature development

The company operates at the integration and implementation layer — deploying and orchestrating existing models (GPT-4, Claude, Gemini, Llama, Mistral) rather than building foundational models from scratch.

An enterprise AI copilot is an AI-powered assistant embedded into a business application or workflow. It helps users complete tasks, surface relevant information, draft outputs, and automate repetitive steps — operating alongside the user rather than replacing them.

Debut Infotech builds enterprise AI copilots by integrating large language models (GPT-4, Claude, Gemini) with a business's existing systems via APIs and RAG pipelines. The copilot is grounded in the company's own data and knowledge base, ensuring responses are accurate, contextual, and compliant with internal policies.

Common use cases: customer support copilots, sales enablement copilots, internal knowledge assistants, developer code copilots, legal and compliance copilots.

AI agents are autonomous software systems that plan, reason, and execute multi-step tasks with minimal human intervention — going beyond standard chatbot interactions to take actions across connected systems. AI agent integration is the process of designing, building, and deploying these agents within an existing product or business workflow.

At Debut Infotech, AI agent integration services cover agent architecture design, model selection, tool and API integration, memory management, orchestration frameworks (LangChain, AutoGen, CrewAI), and production deployment. Agents are typically integrated with CRMs, ERPs, databases, communication platforms, and third-party APIs.

Traditional RPA (Robotic Process Automation) handles rule-based, structured, repetitive tasks — it follows a fixed script. AI process automation uses AI models to handle unstructured data, make contextual decisions, and adapt to variation — tasks that RPA cannot execute reliably.

Debut Infotech's AI workflow automation solutions typically cover: document processing and data extraction, intelligent email and communication routing, approval workflow automation, customer query classification and resolution, report generation, and cross-system data orchestration. The result is end-to-end process automation that handles real-world variability.

As a generative AI development company, Debut Infotech builds applications that use LLMs and generative models to create text, code, structured data outputs, summaries, and automated drafts at scale. Services include:

• LLM integration into existing software products
• Custom prompt engineering and evaluation frameworks
• RAG systems grounded in proprietary business data
• Fine-tuning of open-source models (Llama, Mistral) on client datasets
• Generative AI feature development within SaaS platforms
• AI-powered content generation pipelines

Debut Infotech integrates and deploys the following AI models depending on project requirements, cost considerations, and data privacy constraints:

• OpenAI: GPT-4, GPT-4o, GPT-4 Turbo
• Anthropic: Claude 3.5 Sonnet, Claude 3 Opus
• Google: Gemini 1.5 Pro, Gemini Flash
• Meta: Llama 3, Llama 3.1 (open-source, self-hosted options)
• Mistral AI: Mistral Large, Mixtral (open-source)

Model selection is determined by latency requirements, context window size, reasoning capability, cost per token, and data privacy requirements. Debut does not build foundational models — it integrates and orchestrates existing models within client products and workflows.

Timeline depends on the complexity of the AI deliverable and the integration environment. Indicative ranges:

• Scoped AI chatbot or single-use-case integration: 4–8 weeks
• Enterprise AI copilot with RAG and multi-system integration: 8–16 weeks
• Multi-agent AI workflow automation: 12–20 weeks
• Ongoing AI feature development: continuous under T&M or Dedicated Team model

Timeline is confirmed at scoping. Ballpark estimates are available within 24–48 hours of an initial call.

Data privacy requirements vary by client and jurisdiction. Where proprietary data cannot be sent to external model APIs, Debut Infotech recommends and implements self-hosted open-source models (Llama, Mistral) deployed within the client's own infrastructure. For cloud-based integrations, data handling follows applicable compliance standards. NDAs and data processing agreements are standard at engagement initiation.

Debut Infotech provides end-to-end blockchain software development services for businesses looking to build secure, scalable, and market-ready blockchain solutions. Our team helps clients move from strategy and architecture to development, integration, testing, and deployment across Web3, DeFi, tokenization, and enterprise blockchain use cases.

• Smart contract development and audit
• Decentralized application development
• DeFi platform development
• NFT marketplace and infrastructure development
• Web3 integration into existing products
• Tokenization platform development
• Crypto exchange development
• Blockchain consulting and architecture

Debut Infotech supports Ethereum, Solana, Polygon, BNB Chain, Avalanche, Arbitrum, Base, and other EVM-compatible networks. Network selection is driven by transaction cost, throughput, ecosystem maturity, and security requirements of the specific project. Multi-chain architectures are also delivered for products requiring cross-chain interoperability.

Smart contract development with a defined specification runs on Fixed Price from $15,000 USD. Full dApp builds and DeFi platforms run on Time & Materials from $28/hr given iterative architecture decisions. Long-term blockchain products use the Dedicated Team model at $4,480/month per developer.

See Blockchain Pricing →

Security review is included as standard in smart contract development engagements covering logic vulnerabilities, reentrancy, access control, integer overflow, and gas optimisation. Standalone audit services for externally developed contracts are available as a separate engagement. Debut does not provide independent third-party auditor certification — for regulatory-grade audits required by DeFi protocols, a specialist audit firm is recommended in addition to Debut's internal review.

A smart contract is the on-chain business logic layer — code that executes automatically when predefined conditions are met, deployed on a blockchain. A dApp is the complete product: smart contracts on-chain, a frontend interface, backend (if applicable), wallet integration, and user experience. Smart contract development is a component of dApp development, but can also be delivered as a standalone service.

Debut Infotech recommends Hybrid development (React Native) for the majority of mobile projects — a single codebase covers both iOS and Android, reducing development time, maintenance cost, and time to market without a meaningful performance penalty for most business applications. Native (Swift for iOS, Java/Kotlin for Android) is recommended only when the project specifically requires hardware-level integrations, custom native libraries, advanced device-specific capabilities, or high-performance rendering.

Mobile hourly rates start at $20–$25/hr. Dedicated mobile developers are available from $3,000–$3,500/month (160 hours/month) for both Hybrid and Native profiles. Fixed Price mobile MVPs start from $15,000 for a defined cross-platform feature set.

Yes. App Store and Google Play Store submission is included in Fixed Price MVP and product build engagements — covering store listing preparation, screenshots, metadata, and resolving submission-stage issues. Developer account setup is the client's responsibility.

Yes. Debut Infotech works on existing mobile codebases for feature additions, performance optimisation, UI/UX redesigns, platform upgrades, and technical debt resolution. An initial code review is conducted before the engagement scope is confirmed. Engagements on existing products typically run on the Time & Materials or Dedicated Team model.

Debut Infotech's MVP development service helps startups and businesses validate product ideas with a focused, launch-ready version of their software. We prioritize essential features, user experience, technical stability, and speed to market so you can test demand, gather feedback, and plan the next development phase with confidence.

• Discovery and requirements scoping
• UI/UX design and interactive prototyping
• Core feature development
• QA testing and bug resolution
• Deployment to production
• Post-launch support plan

Fixed price from $15,000 USD with milestone-based payment schedules.

Explore MVP Development →

Debut Infotech builds MVPs for startups, enterprises, and product teams that need to validate ideas, test market demand, and move from concept to launch with a scalable technical foundation. Our MVP development approach focuses on the right feature set, faster delivery, clean architecture, and future-ready product expansion.

• SaaS platform MVPs
• Mobile app MVPs, including cross-platform and native apps
• Web application MVPs
• Blockchain and Web3 MVPs
• AI-powered product MVPs
• Marketplace and two-sided platform MVPs
• Internal enterprise tool MVPs

Typically 6–16 weeks from project kickoff to deployment, depending on feature complexity, tech stack, and integration requirements. A clearly scoped MVP can often be delivered in 8–12 weeks. Timeline is confirmed during scoping before engagement start.

Ballpark timeline available within 24–48 hours of initial call, at no cost.

Post-MVP, most clients transition to Time & Materials or Dedicated Team for ongoing feature development and scaling based on user feedback. This is the standard pattern — particularly for SaaS — where the MVP establishes the foundation and subsequent sprints build toward the full product vision.

MVP development starts from $15,000 USD for a Fixed Price engagement with a clearly defined feature set. Cost is driven by feature count and complexity, technology stack, design requirements, third-party integrations, and timeline. A detailed cost breakdown is produced during the scoping session.

See Pricing Details →

Quality is embedded across the delivery pipeline through several mechanisms:

• Code reviews on every pull request before merge
• Automated testing at unit, integration, and end-to-end levels
• Static code analysis and linting as part of the CI/CD pipeline
• Sprint reviews with client stakeholders to validate output against requirements
• Dedicated QA engineers on each project (not left to developers)
• Post-sprint retrospectives to identify and address process issues immediately

Quality metrics — bug rates, sprint velocity, test coverage — are tracked and included in weekly reports to clients.

Uptime guarantees are defined in the SLA for managed service and post-launch support engagements. Standard support SLAs provide 99.5% uptime with defined response and resolution time tiers based on severity. For clients requiring higher uptime guarantees (99.9%+), infrastructure architecture and monitoring requirements are assessed during the scoping phase to determine what is achievable and at what cost.

Yes. Debut Infotech follows language-specific and framework-specific coding standards enforced through linting configurations, code review checklists, and automated static analysis. Coding standards, folder structures, and naming conventions are documented in the project's contribution guide and applied consistently across the team from day one of development.

Performance baselines are established during the QA phase. Load testing is conducted for systems with traffic-sensitive components — API endpoints, authentication flows, database queries — using tools such as k6, JMeter, or Artillery. Performance results are reported against defined acceptance criteria. For SaaS platforms and high-traffic consumer applications, performance testing is a standard delivery gate before production deployment.

Client feedback is captured and actioned through the sprint cycle. Feedback from sprint review sessions is translated directly into backlog items prioritised for the next sprint. For urgent feedback or issues identified outside of sprint boundaries, a defined issue escalation channel is available via the project manager with a response commitment within one business day.

Debut Infotech follows a structured pre-launch testing process to ensure every product is stable, secure, and ready for real users before deployment. Our QA team validates functionality, integrations, performance, security, and user journeys against the agreed project scope and acceptance criteria.

Pre-launch testing covers:

• Unit testing: Individual function and component validation
• Integration testing: Validation of interactions between system components and third-party APIs
• End-to-end testing: User journey simulation across the full application
• Cross-browser and cross-device testing: Compatibility checks for web and mobile applications
• Performance and load testing: Stability checks for traffic-sensitive systems
• Security testing: OWASP-based vulnerability scanning, dependency audits, and penetration testing where required
• User acceptance testing: Client-led validation against agreed acceptance criteria

A formal test report is prepared and shared with the client before the go-live sign-off.

Debut Infotech assigns dedicated QA engineers to each project. Developers write unit tests for their own code as standard, but functional, integration, and end-to-end testing is handled independently by QA. This separation is deliberate — developers have blind spots on their own code, and independent QA catches a materially higher proportion of issues before they reach the client.

Post-launch bug resolution is handled under the post-launch support agreement. Bugs are classified by severity: critical (system-down or data-impacting) issues receive immediate response with target resolution within hours; major issues within one business day; minor issues within the next scheduled sprint. All reported issues are tracked in the project management system, and the resolution status is communicated to the client.

Yes. Security testing is integrated into the delivery pipeline. This includes OWASP Top 10 vulnerability scanning, automated dependency auditing for known CVEs, static application security testing (SAST), and manual code review for authentication, authorisation, and input validation. For financial, healthcare, and blockchain applications, penetration testing is recommended and available as a defined service. Security test results are documented, and any identified vulnerabilities are remediated before production deployment.

24/7 support coverage is available under dedicated managed service and support SLA engagements for production-critical systems. Standard post-launch support operates during agreed business hours with defined response SLAs for critical, major, and minor issues. Support tier and coverage hours are agreed upon during the commercial discussion. Clients with 24/7 requirements are accommodated through a distributed support model across time zones.

Yes. Documentation is maintained throughout all engagements and formally delivered at project close. Standard documentation deliverables include technical architecture documentation, API documentation, deployment and environment setup guides, codebase README, database schema documentation, and any process or runbook documentation relevant to the solution. Documentation quality is treated as a deliverable — not an afterthought.

Yes. Post-launch support and maintenance engagements cover bug fixes, security patches, dependency updates, performance monitoring, infrastructure management, and feature enhancements. Support can be structured as a dedicated retainer (fixed monthly hours) or on a Time & Materials basis for as-needed work. Post-launch support terms are discussed and agreed upon before the main project concludes, so there is no gap in coverage at go-live.

Third-party costs — cloud hosting, third-party API subscriptions, licences — are the client's responsibility and are identified during scoping so there are no surprises post-launch. Debut Infotech's ongoing costs are limited to any support or maintenance retainer agreed separately. There are no automatic ongoing charges that were not agreed upfront in the engagement or support agreement.

Knowledge transfer is structured into the project close phase. It includes a series of handover sessions with the client's technical team covering architecture walkthrough, codebase structure, deployment processes, monitoring and alerting setup, and common operational procedures. Training sessions are available for client teams who will be administering, extending, or operating the delivered system. Session format (live walkthrough, recorded video, or written runbooks) is agreed based on client preference.

Data and asset security are managed through multiple layers:

• NDAs and data processing agreements signed at engagement initiation
• Access to client systems and data is restricted on a least-privilege basis
• Data encrypted in transit (TLS 1.2+) and at rest
• Secure development practices: OWASP Top 10 compliance, input validation, and authentication best practices
• Dependency auditing for known vulnerabilities as part of the CI/CD pipeline
• Internal access controls preventing unauthorised developer access to production environments

Specific security requirements — such as compliance with SOC 2, HIPAA, GDPR, or ISO 27001 — are assessed during the scoping phase and reflected in the delivery approach.

In the event of a security incident affecting a live system under Debut Infotech's management, the response protocol involves: immediate containment to limit further exposure, client notification within the agreed SLA timeframe (typically within hours for critical incidents), root cause investigation, and a post-incident report with remediation steps. For systems where Debut has an active managed service responsibility, an incident response plan is documented at engagement start and reviewed with the client.

Disaster recovery preparedness is addressed at architecture design. For production systems, Debut Infotech implements automated database backups with defined retention periods, infrastructure-as-code enabling environment recreation, multi-region deployment options for critical systems, and documented recovery runbooks. Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets are defined with the client during scoping and designed into the infrastructure architecture.

Compliance requirements — GDPR, HIPAA, CCPA, PCI DSS, or others applicable to the client's jurisdiction and sector — are identified during the discovery and scoping phase. The technical architecture and data handling practices are designed to meet those requirements. This includes data residency controls, consent management implementation, right-to-erasure capability, audit logging, and role-based access controls. Compliance-specific requirements are documented and included in the technical specification before development begins.

The client owns 100% of the intellectual property, source code, and all deliverables produced during the engagement. Debut Infotech retains no rights to the code, designs, or product once the engagement concludes. IP ownership and code transfer terms are explicitly documented in the engagement agreement before work begins. For incremental deliveries, IP transfer occurs at each agreed milestone.

All client information shared during the engagement — product concepts, business data, technical specifications, customer data — is treated as confidential under the signed NDA and standard confidentiality terms in the engagement agreement. Internal access to client information is restricted to the project team on a need-to-know basis. Debut Infotech does not use client project details for case studies, marketing, or portfolio work without explicit written permission from the client.