Buildgent is a two-founder AI studio. We design, build and ship agentic AI, RAG and document-intelligence systems that hold up in production — by engineers who've cut client workloads ~80% with AI agents and scaled platforms to 9M+ users.
We're two engineers who've shipped AI to millions of users. One builds the brain, one builds the whole product. We ship systems that run in production and cut real cost — not slideware.
Two complementary skill sets, one capability surface — from raw idea to model to product to scale.
Planner–executor agents that plan, call tools (via MCP) and act — with retrieval, memory, guardrails and human-in-the-loop so they hold up on real work, not just demos.
Turn messy PDFs, scans and forms into clean, validated, structured data your systems can trust.
Complete AI products — LLM features (LangChain/LangGraph agents, RAG) on a React + Python/Go/Java stack, with ML models (TF/PyTorch) wired into the loop.
Microservices, multi-cloud, queues and observability — infrastructure proven to 9M+ users and 250K+ daily actives.
Senior architecture, technical direction, de-risking and team setup for companies adding AI to their product — without the cost of two full-time hires. We help you pick the right approach, prove it, and get your team shipping.
Not a chatbot demo — engineered agentic systems with retrieval, evals, guardrails and a human in the loop where it counts.
Agents that decompose a task, call tools through a typed registry (MCP), and recover from failure — orchestrated with LangGraph.
Grounded in your data: embeddings + hybrid search over a vector store, reranking and citations — so answers are traceable, not hallucinated.
Golden datasets, LLM-as-judge and rubric grading gate every change in CI; structured outputs, validation and prompt-injection defenses on the edges.
On consequential actions the system pauses for review, with full traces and audit trails — autonomy where it's safe, oversight where it matters.
One builds the brain. One builds the whole product.
Builds the brain — autonomous AI systems that read messy real-world documents and act on them. Grew from intern to tech lead scaling platforms to millions before going deep on agentic AI.
Builds the whole product — LLM agents and RAG on top, React + Python/Go/Java underneath, ML models in the loop. 8+ years shipping AI products across two continents, with a Master's in Software Engineering.
We started at the same university and the same first company — then the road forked across two continents, and brought us back as co-founders.
Both at Chitkara University, then both at Leher — early careers side by side.
250K+ DAU, 100+ microservices.
Eng Lead, agentic AI.
Moved to Canada.
Senior AI full-stack.
Two paths converge into one studio.
Built together from the start. Same university, same first company — we've been shipping side by side since before this studio existed.
The systems we've led and shipped — the studio's track record, told in challenge, approach and result.
A clear, low-risk path — you see value before you commit to the whole build.
We find the real problem and the workflow behind it — not just the feature request.
A working POC, fast — so we validate before anyone invests in the full build.
Eval-driven: golden datasets, LLM-as-judge, regression gates in CI, guardrails and edge-case coverage — the part most demos quietly skip.
Docs and knowledge transfer, so your team fully owns what we built.
Typical engagement: focused 6–8 week sprints — boutique cadence, senior hands on every line.
Both founders' tech, merged into a single studio toolkit across the whole pipeline.
No junior hand-offs, no account managers. You work directly with the people who build it.
Idea → model → product → scale. Two complementary stacks that cover the whole pipeline, no gaps.
Systems that run in production and cut real cost — proven at millions of users, not in a notebook.
Two people who can both own the work, taking on a deliberately limited number of projects at once.
Tell us what you're shipping. The first 30-minute call is on us.