You can fire us and keep everything.
Code in your repo, prompts and evals versioned, a model-agnostic gateway, and a team trained to change any of it. Every engagement has a stage, one offer attached and a hard exit criterion.
5 stages · one cross-cutting track · 11 published bands
Five stages, one cross-cutting track.
Each stage answers one question, carries one offer, and is done when its exit criterion is met. Fixed price after paid discovery, never on a meter.
- 01Ideation
Signal
“Where would AI actually pay off for us?”
- Offer
- Signal Sprint
- Done when
- A ranked plan with a go or no-go on every item.
- 02Exploration
Shape
“Will it work on our data, with our constraints?”
- Offer
- Shape Pilot
- Done when
- One use case passes its eval bar inside its cost ceiling, in your tenant.
- 03Implementation
Ship
“Get it into production without breaking anything.”
- Offer
- Ship Build
- Done when
- In production with monitoring, a runbook and a trained team.
- 04Scale
Scale
“Now do it for five more workflows, faster.”
- Offer
- Scale Retainer
- Done when
- Each new use case ships in half the first one's time.
- 05Operate
Sustain
“Keep it accurate, safe and on budget as models change.”
- Offer
- Sustain Ops
- Done when
- SLOs on accuracy, cost and latency, reported every week.
- +Any stage
Bench
“Set up our team to build this way ourselves.”
- Offer
- Bench Setup, Bench Enablement
- Done when
- Your team ships its own first evaluated AI system during the engagement.
Published bands, INR and USD.
Fixed after paid discovery, never on a meter. Bands assume a senior India day rate at the top of the boutique range and roughly two to three times that in USD for overseas buyers. All fixed by milestone, excluding tax. Sprint, Pilot and Sustain is the usual path. GBP, EUR, SGD and AED are quoted per proposal at the rate on the day; no third currency is published here.
- AI Signal Scan5 min
12-question scorecard, instant score, one page on where AI pays off and where it won't
Free · Free
Risk reversal
No pitch unless asked. The result is reused in the Sprint. - Live Demo on Your Data1 session
45-minute working session automating one workflow live, evals and cost shown
Free · Free
Risk reversal
Qualified prospects only. - 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
Risk reversal
Fully credited to a Pilot or Bench within 90 days. If AI isn't the answer, the report says so. - Shape Pilot4 to 8 weeks
One use case on real data in your tenant, with golden-set evals, guardrails, tracing, a cost dashboard and handover
₹6 to 20 L · $15k to 45k
Risk reversal
Acceptance is a pre-agreed eval bar plus a cost ceiling. If missed, up to two weeks' extension free. You own the repo from day one. - Ship Build8 to 16 weeks
Production build, integrations, security review, monitoring, runbook, training, 30-day hypercare
₹20 to 60 L · $45k to 150k
Risk reversal
Milestone-fixed fees. - Ship Retainermonthly, 3 minimum
A senior agentic engineer embedded three to four days a week, building and transferring
₹4 to 10 L / month · $8k to 22k / month
Risk reversal
30-day exit after month three. - Scale Retainermonthly
Shared agent infrastructure, reusable components, orchestration, the second to fifth use cases
₹6 to 15 L / month · $12k to 30k / month
Risk reversal
Each new use case ships in half the first one's time. - 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
Risk reversal
SLOs on accuracy, cost and latency. Pause with 30 days' notice. - 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
Risk reversal
Your team ships one evaluated system during the engagement. Maturity scored before and after. - Bench Enablement1 to 2 days
Hands-on workshops and 30 days of office hours
₹1.5 to 4 L · $4k to 10k
Risk reversal
A public monthly session is free. - Build Behind the Brand4 to 8 weeks
White-label agent and retrieval builds delivered under an agency's brand
₹5 to 15 L · $12k to 40k
Risk reversal
Late-delivery credit of 10% per week, capped at 30%.
The AI Signal Scan runs on this site: twelve questions, an instant score, a place on the Readiness Grid and the first offer named by rule. Nothing is sent anywhere.
Take the free Signal ScanThe Readiness GridWhat clients ask first.
- Is the price really fixed?
- Yes, after paid discovery. The Signal Sprint is the discovery; its fee is credited to the pilot or Bench engagement that follows within 90 days. Nothing runs on a meter.
- What happens if the pilot misses the bar?
- The eval bar and the cost ceiling are agreed before the pilot starts. If it misses, we extend up to two weeks at no charge. If it still misses, the report says so and you keep everything built.
- Who owns the code?
- You do, from day one. It lives in your repository and your cloud tenant. Prompts and evals are versioned there too.
- Which models and clouds?
- Whatever you already run. Azure, Google Cloud and Databricks most often; Claude and Gemini models through a model-agnostic gateway, so a model change is a configuration change.
- Where does our data go?
- Nowhere. We build in your tenant and your repo; nothing is copied to our systems. The security page states this per market.
- How do we start?
- A discovery call, then the free Signal Scan or a Live Demo on your data. Most engagements begin with a Signal Sprint.