liveBench
Bench Starter
The exact agentic-engineering setup we install for clients, as a public repo with a live eval and cost dashboard: fork it, or hire us to install it.
Engineering platforms
Your team ships AI systems with an eval bar, a cost gateway and CI gates that block a change when answer quality drops, on a setup you can fork.
Agents fail after launch in ways a unit test never sees: loops, cost blow-ups, tool misuse, stale retrieval, prompt injection and silent regressions when a prompt or a model changes.
WorkflowThe agentic-engineering setup, evals and cost in CIMeasured
Tool trajectory, response match, hallucination and safety scores per CI run; cost per task and per PR; P95 latency; the guardrail hit log.
Tool trajectory, response match, hallucination and safety scores per CI run; cost per task and per PR; P95 latency; the guardrail hit log.
WorkflowOne prompt to three models through the gatewayMeasured
Price, latency and cache hits per model, with a quality score on the task so cost is never shown without quality; the budget cap behaving at exhaustion.
Price, latency and cache hits per model, with a quality score on the task so cost is never shown without quality; the budget cap behaving at exhaustion.
WorkflowA pull request blocked when answer quality dropsMeasured
A judge score against an agreed bar across scripted conversations; the failing conversations before and after; the cost of the eval run itself.
A judge score against an agreed bar across scripted conversations; the failing conversations before and after; the cost of the eval run itself.
“What does 'production-grade' actually look like, and can my team run it?”
Demos in this domain
What it looks like running.
plannedScale
Gateway Meter
Send one prompt to three models through our cost gateway and watch price, latency, cache hits and the budget cap behave in real time.
liveSustain
Agent Autopsy
Six real ways agents fail in production (loops, cost blow-ups, tool misuse, stale retrieval, prompt injection, silent regressions), replayed from traces, with the fix for each.
plannedSustain
Regression Gate
Watch a pull request to an AI feature get blocked because the answer quality dropped, then pass after the fix.
plannedSignal
Signal Mapper
Describe your business in five lines; get your three best AI opportunities, the phase you are at, and what the first step costs.
plannedSignal
Premortem Studio
Paste a project plan; get the ten ways it fails, ranked, with the mitigations, using the same skills we use on client work.
Work in this domain
Built before, named when approved.
- Agentic GraphRAG retrieval: graph traversal plus vector searchinternal
A retrieval agent that fuses graph traversal with vector search and decides, question by question, when to walk the graph. Built as an internal repository; the retrieval code is ready to adapt to a client's documents.
- End-to-end QA automation for an AI producta US software company, since 2024
An end-to-end test suite that drives the product in a real browser through scripted flows, so a change to a prompt or a model is checked against what already worked. It is the regression case the Regression Gate product grows from.
Offers that fit
Where to start.
Bench Setup2 to 4 weeks
The AI engineering stack for one team: conventions, hooks, MCP, eval harness, tracing, cost caps, CI gates, templates
₹3 to 10 L · $8k to 25k
Bench Enablement1 to 2 days
Hands-on workshops and 30 days of office hours
₹1.5 to 4 L · $4k to 10k
Sustain Opsmonthly
Evals in CI, drift and hallucination monitoring, cost guardrails, model-upgrade testing, incident response
₹75k to 3 L / system · $2k to 8k / system
Signal Sprint1 to 2 weeks
Workflow, data and stack audit. Three ranked use cases with business case, eval design, cost model, 90-day plan, go or no-go
₹1.5 to 4 L · $3.5k to 8k