One senior team for the full AI lifecycle. From AI strategy and audit to production AI development, autonomous agents, and custom machine learning, we build artificial intelligence that ships to production, with evals, guardrails, cost-optimized inference, and full code ownership.
Book a scoping call
150+
Products Shipped
60+
Engineers In-House
96%
Client Retention
Wherever you are with AI, there is a sensible next step.
What we build with AI.
Full-lifecycle AI from one senior team. Pick the capability that matches your stage, or start with consulting if you are not sure where AI pays off. Each comes with the same eval discipline and full code ownership at handover.
Book a scoping callCustom AI products and features built and shipped to production, with evals and a cost ceiling.
LLM FeaturesRAGAI IntegrationEvals
Custom AI products and features built and shipped to production, with evals and a cost ceiling.
Automate the repetitive work that quietly eats your team's time, wired into the tools you already use.
Workflow AutomationTool IntegrationHuman-in-the-Loop
Automate the repetitive work that quietly eats your team's time, wired into the tools you already use.
Autonomous AI agents and multi-agent systems that take actions and run workflows end to end.
Autonomous AgentsMulti-Agent SystemsTool Use
Autonomous AI agents and multi-agent systems that take actions and run workflows end to end.
Where AI helps, what is feasible, and a roadmap you can act on, plus an audit of the AI you already run.
AI ReadinessAI StrategyAI Audit
Where AI helps, what is feasible, and a roadmap you can act on, plus an audit of the AI you already run.
Custom ML models trained, deployed, and kept healthy in production with monitoring and drift detection.
Custom ModelsMLOpsDrift Monitoring
Custom ML models trained, deployed, and kept healthy in production with monitoring and drift detection.
Not sure which you need?
You don't have to decide alone.Tell us where you are, we'll tell you what to build first.
What we've shipped, across AI categories.
Different AI shapes, same engineering discipline. Whatever the category, you get the same senior pod, the same eval cadence, and full ownership of models, pipelines, and code at handover.
Replace ten spreadsheets with one source of truth.
Retrieval-augmented assistants grounded in your own documents, wikis, and tickets, with citations and confidence thresholds built in.
Extraction, classification, and summarization over contracts, invoices, and forms, wired into your existing back-office systems.
Agents that coordinate across tools and APIs to run procurement, vendor, and operations workflows with humans in the loop.
Where money actually moves through your product.
Semantic search, recommendation, and matching engines that rank on meaning, not just keywords, across high-volume catalogs.
ML scoring models for fraud, credit, and risk, shipped with feature pipelines, drift monitoring, and explainability.
Multi-turn support, sales, and helpdesk bots on web, WhatsApp, and Slack, with clean handoff to human agents.
What your end users actually touch.
Live eval dashboards, golden datasets, and drift detection so quality is measured continuously, not guessed at.
Lightweight inference in mobile and edge apps, with offline fallback and cost-aware model routing.
AI for finance and healthcare with audit trails, PII redaction, and human-in-the-loop checkpoints where precision matters most.
AI for every vertical.
Our technology
A model-agnostic, production-tested toolkit chosen for accuracy, cost control, and long-term maintainability. OpenAI, Anthropic, open-source models, and your own fine-tunes, all owned by you at handover.
AI inside our delivery, not just in the product.
AI is a tool in our delivery pipeline as much as it is the thing we build for you. Here is how it changes the work, the speed, and the quality of what we hand over.
Every AI feature ships with a test harness, golden datasets, and live eval dashboards. No silent regressions when a model version flips or a prompt changes.
Senior engineers pair with Cursor and Copilot where it earns its keep, with a typed style guide and review gates so generated code clears the same bar as hand-written.
Token budgets, caching, batching, and right-sized model selection are designed in before launch, so inference cost scales with value rather than usage curves.
Faster use-case teardowns, data-readiness audits, and architecture options. You get more shape on the problem in the first two weeks, not the first two months.
Every line of AI-generated code is reviewed by a senior engineer and ships under your IP, the same as anything else we write. No model-generated code goes to production unattended.
Strategy, agents, generative AI, machine learning, and the audit of what you already run, all from one in-house team. The people who scope the work are the people who ship it. No outsourcing, no handoffs to a junior bench.
Because we also do AI consulting and audit, we are happy to say a use case is not feasible yet. A clear no on a project that was never going to work saves far more than it costs.
Every AI system ships with a test harness, golden datasets, and live eval dashboards, plus human-in-the-loop checkpoints where precision matters most. Quality is measured, not assumed.
Models, weights, embeddings, pipelines, and training data live in your repo and cloud account. You stay free to switch providers, swap models, or take the system in-house at any time.
Selected work Real outcomes.
Production AI depends on strong systems engineering: clean data flows, audit trails, secure integrations, and workflows that hold up under compliance review. The same discipline behind 150+ products powers every AI system we ship.
View All Case StudiesOur achievements display our capabilities
Trusted voices. Real outcomes.
“We truly appreciated their dedication, technical expertise, and problem-solving approach.”
Young Onion
Department Head
“I was blown away by the knowledge the team had about creatives, e-commerce, website design, and optimization.”
Decathlon Sports India
Image Leader
“They have a good team of designers and project managers who help us with the designs using HTML, Angular, and React.”
Instarama
COO
“Their creativity stands out. A collaborative team that delivered high-quality solutions working closely with us.”
CodeGama LLP
Business Developer
“We truly appreciated their dedication, technical expertise, and problem-solving approach.”
Young Onion
Department Head
“I was blown away by the knowledge the team had about creatives, e-commerce, website design, and optimization.”
Decathlon Sports India
Image Leader
“They have a good team of designers and project managers who help us with the designs using HTML, Angular, and React.”
Instarama
COO
“Their creativity stands out. A collaborative team that delivered high-quality solutions working closely with us.”
CodeGama LLP
Business Developer
“The product has become more intuitive and user-friendly. Load times dropped significantly after their work.”
Qoruz
Co-Founder
“Simply put, the quality of their code is excellent. They integrated third-party software and ensured GDPR compliance.”
VIA IOM
Director
“What impressed us most was how well they understood our brand and translated it into clean, thoughtful designs.”
GD Farm Fresh
Director
“The product has become more intuitive and user-friendly. Load times dropped significantly after their work.”
Qoruz
Co-Founder
“Simply put, the quality of their code is excellent. They integrated third-party software and ensured GDPR compliance.”
VIA IOM
Director
“What impressed us most was how well they understood our brand and translated it into clean, thoughtful designs.”
GD Farm Fresh
Director
The same four phases sit behind every AI build, whether it is an agent, a model, or a generative feature. Working builds every two weeks, evals from the start, and inference cost designed into the architecture.
Book a scoping call{ 01 }· 1 to 2 weeks
We audit your data, validate the use case, and benchmark the approaches. You get a reference architecture, a model rationale, an eval plan, and a cost band before any build starts.
{ 02 }· 2-week sprints
Model development, prompt engineering or fine-tuning, agent and tool wiring, and integration into your product, with a working demo every two weeks.
{ 03 }· Before go-live
Red-teaming, adversarial and load testing, bias audits, and a compliance review against your real edge cases, so the system holds up under real use.
{ 04 }· Launch and ongoing
Staged rollout, real-time monitoring, drift detection, and an on-call handover. The same team keeps improving the system as your needs grow.
Engagement models, built to fit.
Senior AI engineers in your workflow, shipping every sprint. Choose the contract shape that matches your stage, your budget, and how much in-house AI capability you already have.
A scoped AI build with a defined deliverable, timeline, and price. Best for first AI features, proofs of concept, and use cases with a clear definition of done.
A senior AI pod embedded in your tools and rituals, shipping every sprint. Best for teams rolling out AI across multiple use cases without a six-month hiring cycle.
We cover the full AI lifecycle: AI development services for custom products and features, agentic AI development for autonomous agents and multi-agent systems, AI consulting and audit to decide where AI helps and review what you already run, and machine learning development for custom models. One senior team runs all of it, so strategy, build, and support do not get lost between vendors.
Start with AI consulting and audit. We look at your data, your tooling, and your goals, then give you an honest read on where AI pays off, what is feasible now, and what to skip. If a use case is not ready, we will tell you, which is cheaper than funding a project that was never going to work.
A focused proof of concept runs four to eight weeks; a production AI feature usually lands in ten to sixteen weeks. We agree scope, timeline, and a cost band up front, and you can also engage a dedicated AI pod on a monthly basis with no annual lock-in.
We are model-agnostic by design. We work with OpenAI, Anthropic, open-source models like LLaMA and Mistral, and your own fine-tuned variants, choosing whichever meets your accuracy bar and budget. Because we architect for swappable models, you can adopt newer ones as they ship without a rewrite.
You do, fully. Models, weights, embeddings, training data, pipelines, and source code live in your repo and cloud account. You stay free to switch providers, swap models, or move the system in-house whenever you want.
Every system ships with an eval framework, golden datasets, guardrails, and fallback logic, with human-in-the-loop checkpoints where precision matters most. We architect to SOC 2, ISO 27001, GDPR, DPDP, and HIPAA where your domain requires it, and bias testing and drift monitoring run continuously.
Tell us where you are, even if it is just a rough idea. A senior AI engineer reads every message and replies within one working day, with honest input and no sales script.
Step 1 - Tell us where you are
A first AI feature, an agent, a model, or a system you want audited. We sign an NDA before any specifics.
Step 2 - Speak to an engineer
A senior AI engineer joins within two working days to map your goal, your data readiness, and the shortest path to something working.
Step 3 - Get a real plan
A recommended approach, a model rationale, a cost band, and the right engagement model for your stage.
Tell us where you are, even if it is just a rough idea. A senior AI engineer reads every message and replies within one working day, with honest input and no sales script.
