Bringing Enterprise-Grade AI Capabilities to Modern Digital Products.
We leverage AI capabilities to accelerate development, automate workflows, and create intelligent digital experiences that drive business growth.
AI Powered Product Engineering
From the first line of code to your production launch, we apply AI-driven engineering practices that compress timelines without compromising reliability. Our teams use AI-native tooling for code generation, automated testing, architecture review, and deployment pipelines so your product is built right, built fast, and built to scale.
LLM & Chatbot Integration
We integrate large language models and conversational AI into your products building intelligent chatbots, AI assistants, and automated workflows that understand context, take action, and scale with your business. From prompt engineering and RAG pipelines to multi-agent systems and production guardrails, we handle the full integration so your users get accurate, reliable AI experiences from day one.
Agentic AI Workflows
Replace manual, multi-step processes with AI agents that think, act, and deliver outcomes autonomously. We build agentic systems that connect to your existing tools and data, reason through complex workflows, and complete tasks end to end with built-in guardrails to keep them safe and auditable in production. The result is faster operations, lower costs, and a team freed from repetitive high effort work.
AI Feature Development for Existing Apps
You don't need to rebuild your product to make it intelligent. We add production ready AI features directly into your existing applications recommendation engines, predictive analytics, smart search, anomaly detection, and intelligent automation. Each feature is designed to integrate cleanly with your current stack, ship fast, and deliver measurable impact from day one.
Legacy App Modernization
Most modernization projects fail because teams treat it as a one time rewrite. We take a different approach incremental, low risk, and built around your business continuity. We audit your legacy system, design a modern target architecture, and migrate module by module while keeping your product live. Then we stay as your long term engineering partner to manage, improve, and scale what we've built.
Why Product Teams Choose Sketch Brahma
We're not a vendor you hand a brief to. We're an engineering partner who stays until the job is done.
We Build for Production, Not Demos
Prototypes are easy. We build AI systems that work under real load, with real data, in real production environments and we're not done until it's live and stable.
We Stay After Launch, Through Scale
Most agencies disappear after handoff. We stay as your long term engineering partner monitoring, improving, and scaling what we've built as your business grows.
We Measure by Outcomes, Not Output
We don't celebrate shipping features. We celebrate when those features reduce costs, increase engagement, and solve the problem they were built for.
The technologies we work with
We don't work in silos. We're plugged into world's leading AI models, cloud platforms and engineering tools
Demystifying AI, One Question at a Time.
Learn how our AI solutions help businesses automate processes, integrate LLMs, modernize applications, and build intelligent digital products.
How long does an AI development project take?
Most projects take 4-8 weeks for a focused AI feature or chatbot integration. Full product builds typically run 8-16 weeks. We work in phases so you see progress early.
Can you add AI to our existing product without a full rebuild?
Yes. We integrate AI features directly into your current stack without disrupting what's already working.
What LLMs do you work with?
OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models like LLaMA and Mistral. We recommend the right model based on your use case and data privacy needs.
How do you handle data privacy?
We support private cloud deployments and self-hosted models. Your data is never used to train public models.
Do you provide support after launch?
Yes. We stay as your long-term engineering partner — monitoring, improving, and scaling after go-live.