Chatbots that answer real questions on your data. RAG systems for regulated documents. AI agents that finish multi-step work. Predictive ML that actually ships. We've done it 11 times for our own products. We can do it for yours.
Gartner puts the number at 70–80% failure by production. The demo dazzles. The prototype impresses. Then someone has to pay the API bill, retrain when data drifts, patch when the model changes, and answer at 2 AM when the chatbot starts saying odd things. Most AI shops are gone by then.
We aren't. We've operated live systems for 500+ businesses since 2013. That's the reason we build AI too — because we already run the boring, hard, real part of software.
Source: Gartner, S&P Global AI Experience 2025, industry averages.
Each has a product we've already shipped. Real code, real users, real numbers.
Search and answer questions on your own documents, policies, catalogues, or knowledge base. Every answer cites the source it came from. Zero hallucinations, because the model can only quote what you gave it.
Agents that finish multi-step work on their own. Read a 500-page regulation. Scan 51 data sources for PII. File a return. Triage a ticket. Cross-check a supplier. Then hand you what needs your decision.
Models that predict what happens next. No-show risk before the appointment. Churn risk before the customer leaves. Lead score before the call. Demand forecast before the season. Real numbers, not vibes.
Copilots inside your product. Content generation on your brand voice. Document AI that reads invoices, IDs, contracts. Voice bots on WhatsApp. If it can be described, we've probably shipped something close.
One team, four stages. You know the cost and timeline before we start building.
Two calls. We look at your data, your workflow, your users. You get back a written feasibility doc with recommended model, stack, timeline, cost.
Working demo on your actual data. Two model comparisons so you can see the tradeoff. You test it before we commit to the full build.
Production system with evals, security review, DPDP-aligned data handling, and the integrations you need. Deployed to your cloud or ours.
Same team runs it. Model monitoring, cost control, evals, retraining when data drifts, incident response. This is what most AI shops don't do.
30 minutes. No sales script. You leave with a written blueprint.
These are the sectors where our AI is already live in customer hands.
Case law RAG, judgment search, drafting copilot, court sync, WhatsApp bot. VakeelSaathi is live with lawyers and firms.
DPDP compliance, PII discovery, GST reconciliation, audit trail. Dcomply covers 80+ modules including DPDP, RBI, SEBI, ISO 27001.
ShowUpAI no-show scoring, RERA intelligence, property matching, WhatsApp property cards. RealZent runs brokerages across India.
WhatsApp bots, SMS OTP flows, transactional voice, delivery monitoring. BookMySMS processes messages for enterprise clients.
Attribution, spend optimisation, creative performance ML, customer scoring. Dmetric is Decipher's marketing intelligence product.
Off-the-shelf AI has no context on your data, your rules, your customers, your regulations. Custom AI does.
No sales script. We'll tell you if it's a good fit for AI, what stack we'd use, what it costs, and how long it takes. You leave with a written blueprint you can share with your team.