Generative AI solutions
Assistants, document intelligence and retrieval-augmented search grounded in your own data.
- RAG pipelines
- LLM evaluation
- Prompt & context design
Consulting & software engineering
SCS Inc. helps teams design, build and launch software products with AI built into every stage of engineering. We pair senior consultants with AI engineering factories, and keep humans accountable for every release.
Who we are
We are a pure-play consulting and software development firm based in Bengaluru. We work alongside product owners, CTOs and engineering leaders to turn ideas into working products, and to modernise how their teams build software.
Our approach combines strategy, hands-on engineering and training. We bring AI into the work where it measurably improves speed and quality, and we put checks around it so the output can be trusted in production.
AI capabilities
Practical AI that ships into real products and real workflows, from first prototype to monitored production.
Assistants, document intelligence and retrieval-augmented search grounded in your own data.
AI agents that take on multi-step tasks across your systems, with approvals where it matters.
Data platforms, predictive models and MLOps that keep models accurate after launch.
Guardrails, testing and audit trails so AI systems meet security, privacy and compliance needs.
Assured AI development
AI speeds up every stage of delivery. Assurance gates make sure that speed never costs quality, security or accountability.
Frame the problem, the users and the outcome worth building.
Gate · value caseAI-assisted research, rapid prototypes and requirements written as testable specs.
Gate · spec reviewEngineers work with AI coding agents inside our factory templates and standards.
Gate · code reviewGenerated tests, security scans and model evaluations run on every change.
Gate · quality barAutomated release, observability and feedback loops into the next iteration.
Gate · go-live sign-offAI engineering factories
Our factories are reusable production lines for software: proven templates, agents and quality checks that let a small team deliver what used to take a large one.
The SDLC is changing
AI changes the work at every stage of the software lifecycle. We help teams adopt the new way of working without losing control.
| Stage | Traditional | AI-native with SCS |
|---|---|---|
| Requirements | Long documents, written and reviewed by hand | AI drafts user stories and acceptance criteria; analysts refine and approve |
| Design | Whiteboard sessions and static diagrams | Rapid clickable prototypes and architecture options generated in hours |
| Coding | Every line written manually | Engineers direct coding agents and focus on design, review and edge cases |
| Testing | Test cases written after the code | Tests generated alongside code, with coverage and mutation checks |
| Review | Peer review only | AI pre-review for bugs and security, then human approval |
| Operations | Alerts triaged by on-call staff | AI summarises incidents and suggests fixes; engineers decide |
Upskilling
Hands-on programs that help teams work confidently with AI, built around your own codebase and real use cases.
Working with coding agents, prompt and context design, reviewing AI output, and testing AI-written code.
Python for ML, building RAG and agent systems, evaluation, and taking models into production.
Operating models, measuring AI's impact on delivery, risk and governance, and planning team change.
AI risk, model governance, data privacy and audit readiness for regulated industries.
Contact
Tell us what you want to build or improve. We usually reply within two working days.