Custom AI agents built around your workflow
No templates. We map your specific workflow, integrations and edge cases, then build a bespoke production agent that fits your stack and your risk tolerance.
What this means for your business
Off-the-shelf AI tools force your process into their shape. A custom agent does the opposite — it is built around your actual workflow, your systems and the edge cases that matter to your business. That is the difference between a tool people work around and one they rely on.
We start by mapping the real process: the steps, the data, the decisions, the exceptions. Then we build an agent that integrates with your stack, takes the right actions, and escalates the rest — with evals and guardrails sized to how much autonomy you are comfortable granting.
Because we operate our own production AI products, we know how to make bespoke systems durable: retries, observability, cost control and a clean operate handoff. You own the outcome; we make sure it survives contact with reality.
What we build
Workflow mapping
We document your real process, data and edge cases before writing a line of code.
Bespoke tool-use
Agents wired to exactly the APIs and systems your workflow touches.
Tunable autonomy
Autonomy and approval gates sized to your risk tolerance, not a fixed template.
Custom evals
Evaluation suites written against your tasks so quality is measured on what matters to you.
Observability
Tracing and dashboards built for your workflow so you always know what the agent did.
Operate handoff
Clean documentation and an optional retainer so the system keeps running well.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Discovery | Workflow, data and edge-case mapping before any build |
| Architecture | Decoupled agent layer so you avoid vendor lock-in |
| Stack | Next.js, TypeScript, serverless, vector + relational stores, your APIs |
| Quality | Task-specific eval suites and step-level observability |
| Engagement | Fixed-scope build (4–10 weeks) then optional operate retainer |
| Typical budget | ₹20L–₹50L / $20k–$60k per system |