AI that works in
your system. Not a demo.
Bespoke LLMs, voice agents, RAG systems, and computer vision — built for production, not proof-of-concept theatre. We have AI running at Indian Railways, Reliance Smart, and government bodies.
Generic models don't understand your domain. We build ones that do.
Off-the-shelf LLMs hallucinate on domain-specific language. Generic automation tools can't integrate with your compliance requirements. Most AI vendors sell demos — not deployed systems with measurable outcomes.
- AI POC completes but never reaches production — the integration layer isn't built
- Generic LLMs fail on domain-specific terminology — finance, insurance, government
- DPDP Act and RBI compliance constraints make off-the-shelf tools non-starters
- Internal teams lack the ML expertise to evaluate vendor claims or review model accuracy
- No accountability for outcomes — vendors disappear after delivery
Bespoke model trained on labelled medical imaging data — not a generic vision API. Domain-specific training is the difference between clinical-grade and unusable.
Domain-specific LLMs trained on sales language — generic transcription tools fail on product names, deal terms, and customer-specific context.
Four production-grade AI pillars. All shipped.
Not research. Not prototypes. These are the categories where JWS has production deployments with measured outcomes.
Agentic & Conversational AI
Bespoke LLMs, multi-modal agents, RAG systems, voice + text interaction, domain-specific fine-tuning. Live: AI Avatar (20+ languages), Insurance Agent, AyurvedGPT.
Computer Vision
Image segmentation, object detection, gesture recognition, video analytics, medical imaging. Live: MRI Segmentation, DOOH gesture recognition, Fashion Trend AI.
ML & Predictive Intelligence
Transfer learning, time-series forecasting, anomaly detection, recommendation engines, trend prediction. Live: Fashion Forecasting, Medical Defect Detection, UX Analytics.
Voice & NLP
Speech recognition, multi-language transcription, voice-to-CRM, sentiment analysis, content generation. Live: Maven Voice AI, AI Biography Platform, 20+ Language Avatar.
On-Premise & Private Deployment
For FinTech, government, and enterprise clients with data sovereignty requirements. Private GPT on your infrastructure — data never leaves your environment.
Compliance-First Builds
DPDP Act, RBI AI frameworks, SEBI compliance, AS9100 — we've built AI systems in regulated environments. Compliance is architecture, not afterthought.
Paid POC first. Full deployment only when it works.
We don't ask you to commit to a large engagement before we've proven the model works in your environment. A scoped paid POC de-risks the decision on both sides — and the output is production-path code, not a throwaway demo.
Discovery Call
30 minutes. We identify the highest-value AI use case in your operation — not the flashiest one, the one with a measurable ROI and a realistic data foundation to build on.
POC Scoping
Fixed scope document: what we build, what data we need, what success looks like numerically, timeline, and fixed fee. No ambiguity before we start.
6-Week Build
Bespoke model or agent trained on your data, integrated into one existing system. Weekly progress updates. You see the build as it happens — no black box delivery.
Validation
We test against the success criteria defined at scoping. You get a clear pass/fail against the metric — not a subjective "it looks good." If it doesn't clear the bar, we tell you.
Production Path
POC output is production-path code. If the POC clears the bar, we hand you a full deployment proposal — architecture, timeline, team, cost. No rewrite required.
Full Deployment
End-to-end deployment with JWS owning delivery accountability. Monitoring, model maintenance, and iteration built into the engagement — not sold as extras later.
Your competitors are shipping AI.
What are you waiting for?
Start with a 30-minute call. We'll tell you what's actually feasible, what the right use case is, and what a POC would cost. No pitch deck.