Generative AI, agents, computer vision, NLP, and MLOps — delivered as production systems, not demos. Built on Claude, GPT, Gemini, Llama, Mistral, and the open-source long tail, with evals and guardrails from day one.
Four signals from the real world. Numbers pulled from shipped engagements and independent analyst forecasts — not AI marketing theatre.
PwC projection of AI's contribution to the global economy by 2030 — a macro wave we help you surf, not chase.
When domain-tuned models replace generic LLMs — measured across the last 18 months of shipments.
Typical operational cost compression on AI-accelerated workflows replacing manual processes.
Average revenue lift our partner companies see in the first year of an AI engagement.
Click or hover any practice to see what's inside — offerings, typical models, and how it plugs into a broader AI program.
Production-grade applications powered by frontier LLMs — Claude, GPT, Gemini, Llama, Mistral — wired with retrieval, tool use, and evals that survive real traffic. No hallucinations in demo mode.
The six domains we keep a standing team in — with shipped production work, in-house evaluation harnesses, and enough history to know which hype cycles to skip.
Classical and deep ML — regression, classification, clustering, sequence models, deep nets — tuned for your data and your business goal.
Sentiment, summarization, NER, translation, document intelligence, and conversational AI — from prototype to production.
Object detection, recognition, tracking, OCR, AR, and medical imaging — from edge devices to cloud-scale video pipelines.
Frontier LLMs, RAG, multi-modal generation, and bespoke fine-tuned models — shipped with evals, guardrails, and observability.
Agents that plan, call tools, and execute multi-step goals — grounded in your systems and bounded by your guardrails.
Deep hands-on fluency across Claude, GPT, Gemini, Llama, Mistral, and the open-source long tail — model choice as a first-class decision.
OpenAI
Anthropic
Gemini
Llama
Mistral
TensorFlow
PyTorch
LangChain
Codex
Vertex AI
Cloud Vision
OpenCV
Watson
Cloud NL
n8n
Cognitive Services
Bot FrameworkSix verticals where the AI ROI is clearest right now — with the use cases we've shipped and the clients we've shipped them to.
Clinical AI, imaging, and patient engagement under HIPAA.
Fraud, underwriting, and conversational banking with bank-grade compliance.
Merchandising, AR try-on, and demand AI that converts.
Smart factories, vision QC, and digital twins.
Routing, forecasting, and yard-ops AI.
Recommendation, content intelligence, and AI creative.
A deliberate, de-risked path from fuzzy idea to board-ready prototype — with every stage demoed and every decision measured.
One week of discovery — map use cases, score them on ROI and data readiness, and pick the first one to ship.
Inspect data sources, pipelines, and privacy posture. Surface the gotchas that kill AI projects before they start.
A live prototype with real data, AI in the loop, and a go/no-go signal for the board. Not a slide deck.
Evals, guardrails, observability, CI/CD for models, cost controls — the unglamorous work that keeps AI shipped.
Drift detection, retraining, A/B testing, and a monthly scorecard on the KPI we anchored on in week one.
Eight reasons enterprise AI leaders keep us on retainer — the non-negotiables behind a 95% renewal rate on AI engagements.
Engineers who have shipped production ML since before transformers were a blog post — pair that with AI copilots on every desk today.
We use frontier models where they earn their token cost — and older, faster, cheaper ones everywhere else.
Every engagement opens with an evaluation harness and a success metric wired to a business KPI, not a demo.
Same team from pitch to production. Transparent dashboards, live sprint demos, weekly exec reviews.
Safety, fairness, and guardrails scoped in the first sprint — not bolted on after the first incident.
Architected to grow from a 2-week proof to a multi-region platform — no rewrites, no vendor lock-in.
HIPAA, GDPR, SOC 2, EU AI Act — compliance is architected-in, with named advisors on retainer.
Teams across Ahmedabad, Dubai, Beverly Hills, and Melbourne — overlap with any enterprise business day.
Three flagship AI engagements — every one in production, every one paying back against a named KPI.
One discovery call. One opportunity map. One working prototype in under a month. The shortest honest path to AI that pays back.