Everything it takes to get AI past the demo and into the work.
Strategy, agents, automation, retrieval and vision sit at the centre of what we do. Engineering, growth and infrastructure exist so nothing stalls between the decision and production.
Five disciplines that decide whether AI reaches production.
Strategy, agents, automation, retrieval and vision. Most engagements begin with one of these and grow into a second once the first has paid for itself.
Somebody has to build the thing the model plugs into.
Platforms, sites, apps and new products, engineered so an agent can attach to them later without a rewrite.
Software Development
Custom platforms built to carry AI workloads from day one, not retrofitted later.Custom platforms & internal toolsAPI and microservice designQA and automated testingWeb Development
Fast, accessible, search-visible sites and web apps with measurable conversion.Marketing sites & web appsHeadless CMS and e-commerceCore Web Vitals performance workApp Development
iOS and Android products your customers keep on the first screen.React Native & native buildsOffline-first architecturesStore release and maintenanceNew Product Development
Zero to launched — validated, prototyped and shipped in focused cycles.Market research & concept validationRapid prototypingMVP scoping and launch
A system nobody finds is a system nobody funds.
Search, social, paid media and brand design — held to qualified enquiries rather than impressions.
Everything above needs somewhere to run.
Cloud architecture, managed hosting and model operations, watched by people who are on call rather than by a dashboard nobody opens.
Whichever service you start with, the shape is the same.
We prove value on one workflow before anyone signs a programme. Each phase has to earn the next, and the exit point after any of them is a real option.
- 1–2 weeks
Discovery Sprint
We sit with your operators, map the workflows, and score every candidate use case on value, data readiness and risk. You leave with a ranked backlog and a cost model.
- Use-case scorecard
- Data readiness report
- Costed roadmap
- 3–4 weeks
Proof of Value
We build the single highest-value agent against your real data and measure it against the humans doing that job today. If the number is not there, we say so.
- Working prototype
- Evaluation set
- Benchmark vs. baseline
- 6–12 weeks
Production Build
Hardened architecture, guardrails, observability, SSO, audit trails and rollback. Deployed to your cloud or ours, with your team in the code review.
- Production system
- Runbooks
- Team enablement
- Ongoing
Operate & Scale
We monitor cost, latency and quality, retrain against fresh feedback, and roll the pattern out to the next department once it has earned the right.
- SLA support
- Monthly eval reports
- Roadmap reviews
Pick the tier that matches your bottleneck, not your ambition.
Four tiers, one honest rule: start where the constraint actually sits. Everything else can wait until the first phase has paid for itself.
You know the manual load is expensive, but not which part of it to automate first.
AI CoreA discovery sprint that watches the work, scores every candidate and prices the shortlist.
AI ConsultingYou have the use case, the data and a date by which it has to be running.
AI CoreA proof of value on one workflow, benchmarked against the people doing that job today.
AI Agent DevelopmentThe platform the AI would sit on does not exist yet, or cannot carry the load.
Product EngineeringArchitecture first, then a build your engineers review, with the seams for agents left open.
Software DevelopmentThe product works and almost nobody outside the company knows it exists.
GrowthA technical audit, then demand mapped by buying stage and pages written to answer it.
SEOIt is live, it is fragile, and one person is quietly holding it together.
InfrastructureAn inventory and a risk list, then environments codified and alerting routed to a rota.
Cloud, Hosting & MLOps
Plenty of clients arrive for one tier and end up in two. A site rebuild uncovers a queue worth automating; an agent build exposes hosting nobody has patched in two years. We scope each one separately, so the second is a decision rather than an assumption.
The questions that come up in every first call.
No. The discovery sprint includes a data readiness audit, and most engagements begin with data that is messier than the client expects. What matters is that the data exists and we can reach it — cleaning is part of the build.
Never. We deploy into your cloud account or an isolated VPC, use zero-retention API configurations, and can run fully self-hosted open-weight models where policy requires it.
A chatbot answers. An agent acts — it holds context across steps, calls your systems, and completes a task end to end, with an approval gate on anything sensitive. The measure of success is work completed, not questions answered.
A discovery sprint is a fixed-fee, one-to-two week engagement. Proof-of-value builds are fixed-scope. We only move to time-and-materials once a system is in production and evolving.
Yes — and we do them with AI woven in rather than bolted on. Many clients start with a site or an app and expand into automation once they see where the repetitive work sits.
Tell us what is in the way.
Bring the process, the constraints and the mess. We will tell you which of these services actually applies, which one you can skip, and what the first phase would take.
+91 97915 97993