Building Reliable Multi-Step Agents: Lessons from 80+ Production Deployments
What we've learned about tool orchestration, error recovery, and human-in-the-loop patterns that actually work at scale.
Autonomous agents. Intelligent software. Real ROI. We engineer AI systems that ship to production and deliver measurable business value.
What We Build
AI-First Products
Multi-step agents that reason, act, and self-correct. Built with evals, guardrails, and human-in-the-loop when it matters.
Production-grade LLM apps — RAG pipelines, fine-tuned models, and custom copilots that integrate into your stack.
Web and mobile products with AI at the core. Not bolted-on features — native intelligence from day one.
Pilot Timeline
Working AI in 4-6 weeks
Engagement
Embedded or project-based
Practical insights from shipping AI systems to production. No hype — just what actually works.
We're not a generalist dev shop that added "AI" to the deck. This is all we do — and we've shipped 80+ AI systems to production.
Agents that research, decide, and execute. We handle the hard parts: tool orchestration, memory, error recovery, and knowing when to ask for help.
RAG systems, fine-tuned models, and LLM pipelines built for your domain. Not wrappers around ChatGPT — real engineering with evals and observability.
Web and mobile products where AI isn't a feature — it's the architecture. Design, engineering, and deployment in one team.
Task-aware assistants that live in your tools — Slack, Notion, internal apps. They understand context, trigger actions, and learn from feedback.
AI works best when it has clear tasks, good data, and room to fail safely. Here's where we've seen the biggest impact.
Agents that read thousands of documents, synthesize findings, and surface insights humans would miss.
Autonomous task execution across tools and systems. The agent handles the tedious multi-step work.
Copilots that understand customer context, surface relevant info, and take action on behalf of your team.
Generation pipelines with quality controls. From first draft to final output with human review loops.
AI that understands your codebase, writes tests, reviews PRs, and handles migrations at scale.
Natural language queries over your data. Ask questions, get answers — no SQL required.
Have a different use case in mind? We've probably built something similar.
Let's discuss your projectMost AI projects die in the POC phase. Ours don't. We've learned what it takes to get AI past security review, into production, and delivering value.
PRODUCTION-FIRST
We've put 80+ AI systems into production. We know what breaks, what scales, and what gets blocked by security review.
END-TO-END
Design, LLM engineering, infra, and product — no handoffs, no 'that's not my layer' excuses. One team owns the outcome.
BUILT-IN TRUST
Evals, guardrails, hallucination detection, and audit trails. Your AI won't embarrass you in production.
RESULTS-TIED
We measure success by what your AI accomplishes — not story points or model benchmarks. ROI you can actually measure.
A four-step operating system for AI products that keeps outcomes, safety, and speed aligned.
USE-CASE DISCOVERY
Align on the business outcomes, users, and workflows that matter most. Prioritize high-ROI AI opportunities with clear success criteria.
EVALS + PROOF
Design the architecture, run fast proofs, and establish evals, safety, and observability before scaling.
SHIP & HARDEN
Ship the MVP and integrations with rigorous QA, guardrails, and performance baked in. Design-forward experiences included.
SUSTAIN & SCALE
Go live with confidence. Instrument metrics, run experiments, and iterate with a continuous improvement loop.
Real projects. Real results. See how we've helped teams ship AI that actually works.
Agentic research assistant that drafts briefs, synthesizes sources, and cites every claim. Reduced research cycles from days to hours with auditable outputs that analysts actually trust.
Tech Stack
Key Result
6.5x faster research turnaround
We're a small team shipping AI systems that work in production. If you want to build things that matter, not just demos, we should talk.
AI Engineering · Remote, India
AI Engineering · Remote, India
AI & Product · Remote, India
Design · Bangalore / Remote
Infrastructure · Remote, India
Don't see your role? We're always looking for talented people.
View all openingsDeep dives into production AI, engineering best practices, and lessons from building AI systems at scale.
Learn the key architectural decisions and engineering practices that separate demo AI agents from production systems handling millions of requests.
Why most RAG implementations fail in production and how to build retrieval-augmented generation systems that deliver accurate, relevant results.
How to build evaluation systems that catch model regressions, hallucinations, and quality issues before your users do.
Bring us the challenge — copilots, agentic workflows, intelligent web or app builds. We’ll blueprint, ship, and scale with the safety and speed your teams need.
Tell us about the workflow, product, or KPI. We’ll respond within 2 hours with next steps and a clear path to a pilot.
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