WeaveAI is an AI engineering studio.
We build retrieval and agent systems for companies that need real deployment quality, not just a promising interface.
Technical Lead
Pulkit Verma
Pulkit leads engineering for reliable AI systems and production AI infrastructure. His background spans scalable software systems, RAG architectures, and deployment pipelines that have to keep working after launch.
Partnerships and Delivery
Somya Gupta
The co-founder leads outreach, partnerships, and client relationships. That includes scoping, rollout planning, and keeping production deployments aligned with real business constraints.
The delivery model is practical.
We scope the workflow, inspect the data path, build the system, and stay close to evaluation and rollout until the deployment behaves the way it should.
Ground the system
Good outputs start with good context. We design retrieval, memory, tool use, and decision boundaries before prompt tuning.
Measure it in the open
Every system needs evals, traces, and failure modes you can inspect. We build those in from day one.
Ship where the work happens
The best agent is the one that fits the workflow. We integrate with docs, support queues, GitHub, and internal ops systems.