Autonomous agents, retrieval and automation engineered for production: governed, observable and measured against your own data, with a person in the loop wherever it matters.
Running in production at
We don't sell pilots. Every engagement is scoped to reach production, with the evaluation criteria agreed before a line of code is written.
Four places where autonomy has already paid for itself in our clients' books — with the measured result attached to each.
An agent that reads the ticket, checks the account, applies your refund policy and either closes the case or hands a human the full context. Tier-1 volume stops reaching your queue.
Contracts, claims, invoices and statements parsed into structured fields with a confidence score on every one. Reviewers see only what falls below threshold.
Agents enrich every inbound lead, research the account, draft the outreach and log it in your CRM before the rep opens their laptop.
Agents that triage incidents, draft migrations, keep documentation current and answer the questions that would otherwise interrupt a senior engineer.
Product lines we know deeply enough to move fast in — each one delivered with the tracing, evaluation and guardrails a production AI system needs from day one.
Payroll, attendance and appraisals on one tenant-isolated platform, with an agent that answers policy questions from the handbook and routes the exceptions to a named person.
From
₹18,000per month
Best for employers of 200 to 5,000 staff
Product discovery, order status and returns answered from your live catalogue and order system rather than a scripted flow, with anything it cannot confirm handed to a human.
From
₹16,000per month + usage
Best for D2C brands and online retailers
Job intake, pricing and the matching of a vetted professional to a slot, run against live availability rather than a callback queue, with the exceptions a dispatcher actually needs to see raised as they happen.
From
₹14,000per month + usage
Best for service networks and franchises
Adaptive coursework, auto-marked assessment and a tutor agent grounded in the institution's own material rather than the open web.
From
₹15,000per month
Best for institutions and training providers
01 · HRMS · Multi-tenant SaaS
Payroll, attendance and appraisals on one tenant-isolated platform, with an agent that answers policy questions from the handbook and routes the exceptions to a named person.
From
₹18,000per month
Best for employers of 200 to 5,000 staff
02 · E-commerce · Storefront agents
Product discovery, order status and returns answered from your live catalogue and order system rather than a scripted flow, with anything it cannot confirm handed to a human.
From
₹16,000per month + usage
Best for D2C brands and online retailers
03 · Home Services · Dispatch agents
Job intake, pricing and the matching of a vetted professional to a slot, run against live availability rather than a callback queue, with the exceptions a dispatcher actually needs to see raised as they happen.
From
₹14,000per month + usage
Best for service networks and franchises
04 · EdTech · Learning platforms
Adaptive coursework, auto-marked assessment and a tutor agent grounded in the institution's own material rather than the open web.
From
₹15,000per month
Best for institutions and training providers
Four of the domains we work in. The full list is longer.
Each stage ends in something you can hold: a document, a demo, a passing eval, a dashboard. Nothing carries over on trust alone.
A paid two-week audit of your processes, data and systems. We come back with a ranked list of what AI should touch — and what it should not.
Audit report and ranked backlog
2 weeks
Model selection, retrieval design, guardrails and the integration surface. You get a written architecture with a cost model attached to it.
Architecture doc with cost model
1–2 weeks
Two-week sprints with a working agent at the end of each one. Your team reviews real output, not slideware, from the third week onward.
A working agent every sprint
4–8 weeks
A task-specific eval suite gates every release. Nothing reaches production until it beats the baseline on your data, not a public benchmark.
Eval suite and release gate
Continuous
Tracing, drift alerts, cost dashboards and an on-call team who already know your stack. We stay after go-live — that is the whole point.
Live dashboards and on-call rota
Ongoing
Every figure below is measured post-launch, from the client's own reporting — not from a pilot, and not from us.
A supervised agent sits between carrier feeds, the ERP, customs documents and the approvals queue. It reads each exception, pulls the records it needs, rebooks inside its authority limit and hands anything above it to a named approver with the recommended action already drafted.
Retrieval, models and automation built on a single secure core instead of six tools. Scientists ask in plain language, the core searches 1.2 million protocols and assay results, and every answer carries a citation strict enough for regulatory submissions.
Onboarding was the start. The same layer now extracts, classifies and verifies KYC packs for legal and finance, resolves routine tickets for support, qualifies leads for revenue and triages issues for engineering, with confidence gates that route anything uncertain to a person.
Aggregated across every production engagement currently under our operations retainer. Reviewed quarterly with each client.
Executed across production deployments in the last 12 months.
Measured across all managed inference and retrieval services.
Per automated workflow, twelve months after go-live.
From signed discovery to the first agent serving live traffic.
Northwind LogisticsSupply ChainEvery other vendor showed us a demo. Chronixa showed us an evaluation suite running against our own data, and told us which two of our five use cases were not worth building. We signed the next week.
Priya RamanChief Technology Officer68%exceptions auto-resolvedBring one process you think an agent could run. We'll tell you straight whether it's worth building — and what it would cost if it is.
