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Home / AI Solutions India's Build-and-Run AI Studio · ISO 9001:2015 HUB FILE · THE AI DESK
THE AI DESK / SOLUTIONS HUB

We build custom AI. Then we run it.

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.

Chat with Deci See What We Build →
11AI Products in Production
500+Systems Operated
12Years Operating Live Systems
96%Client Retention
FILE 01 / FOUR THINGS WE BUILD WELL

Pick the one that fits your problem.

Each has a product we've already shipped. Real code, real users, real numbers.

AI-01 RAG / Chatbots · Case: VakeelSaathi

AI Chatbots & RAG Systems

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.

50k+judgments
97%top-3 accuracy
<500msanswer time
See how we build RAG AI-02 Agents · Case: Dcomply

AI Agents & Workflow Automation

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.

Proof from Dcomply: 51 auto-connectors across S3, GDrive, Slack, Postgres, MySQL. India-tuned PII discovery for Aadhaar, PAN, GSTIN, UPI. Compliance filings on autopilot.

See how we build agents AI-03 Predictive ML · Case: RealZent ShowUpAI

Predictive ML & Scoring

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.

Proof from ShowUpAI: Kills the 40% no-show problem in Indian real estate. OTP-verified site visits + broadcast reminders + risk scoring. Runs on every site visit RealZent tracks.

See how we build ML AI-04 Custom AI · Case: Fluxeta

Custom AI Copilots & Generation

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.

Proof from Fluxeta: 7-action AI writing studio inside a creator OS. Newsletter drafts, blog outlines, SEO tuning, image alt-text, translation, summarisation, hook generation.

Discuss your idea
EXHIBIT / THE UNCOMFORTABLE TRUTH

Most AI projects don't survive production.

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 2014. That's the reason we build AI too. Because we already run the boring, hard, real part of software.

where AI projects die — industry data
Never make it past demo31%
Die during production build27%
Break within 6 months of launch22%
Actually stay in production20%
Source: Gartner, S&P Global AI Experience 2025, industry averages.
FILE 02 / SHIPPED IN PRODUCTION

Regulated Indian industries. Real workflows.

These are the sectors where our AI is already live in customer hands.

See 11 AI Products We Built →
LIVE-01 Legal & Judiciary

Legal & Judiciary

Case law RAG, judgment search, drafting copilot, court sync, WhatsApp bot. VakeelSaathi is live with lawyers and firms.

LIVE-02 Compliance

Compliance & Legal Ops

DPDP compliance, PII discovery, GST reconciliation, audit trail. Dcomply covers 80+ modules including DPDP, RBI, SEBI, ISO 27001.

LIVE-03 Real Estate

Real Estate & Brokerage

ShowUpAI no-show scoring, RERA intelligence, property matching, WhatsApp property cards. RealZent runs brokerages across India.

LIVE-04 Publishing

Publishing & Creators

AI writing studio, newsletter drafts, blog outlines, SEO tuning, translations. Fluxeta powers Indian creators. Dpublish runs news sites.

LIVE-05 Messaging

Messaging & Voice

WhatsApp bots, SMS OTP flows, transactional voice, delivery monitoring. BookMySMS processes messages for enterprise clients.

LIVE-06 Marketing

Marketing & Analytics

Attribution, spend optimisation, creative performance ML, customer scoring. Dmetric is Decipher's marketing intelligence product.

FILE 03 / ROUTING — BY INDUSTRY

Playbooks for your vertical

Pick your industry to see use cases, stack, and proof for AI built specifically for it.

REF-A AI Chatbot Playbooks
REF-B AI Agent Playbooks
FILE 04 / HOW WE ACTUALLY WORK

Idea to production in 8-10 weeks.

One team, four stages. You know the cost and timeline before we start building.

01

Discover

Two calls. We look at your data, your workflow, your users. You get back a written feasibility doc with recommended model, stack, timeline, cost.

Week 1 · Free

02

Prototype

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.

Weeks 2-3 · ₹1.5-4L

03

Build

Production system with evals, security review, DPDP-aligned data handling, and the integrations you need. Deployed to your cloud or ours.

Weeks 4-8 · ₹6-25L

04

Operate — Our Moat

Same team runs it. Model monitoring, cost control, evals, retraining when data drifts, incident response. This is what most AI shops don't do.

Ongoing · From ₹40k/mo

Chat with Deci

30 minutes. No sales script. You leave with a written blueprint.

FILE 05 / WHY CUSTOM AI BEATS OFF-THE-SHELF

ChatGPT is smart. It doesn't know your business.

Off-the-shelf AI has no context on your data, your rules, your customers, your regulations. Custom AI does.

✕ OFF-THE-SHELF CHATGPT / GEMINI

Great at general knowledge. Bad at yours.

  • ✕ Doesn't know your product docs, contracts, or SOPs
  • ✕ Hallucinates freely because there's no ground truth
  • ✕ No control over what data leaves your walls
  • ✕ No integration into your CRM, ERP, or workflow
  • ✕ No accountability when it gets something wrong
✓ CUSTOM AI BY DECIPHER

Trained on your context. Runs your rules.

  • ✓ Grounded in your data. RAG index, fine-tuning, or both
  • ✓ Answers cite sources. If it isn't in the source, it says so
  • ✓ Runs in your VPC or on-prem when data can't leave India
  • ✓ Wired into the tools your team already uses
  • ✓ We run it. If it breaks, our on-call fixes it
FILE 06 / FIELD MANUAL — FAQ

Things founders ask us on the first call.

What kind of AI does Decipher build?
Four things well: RAG systems (retrieval-augmented search over your documents), AI chatbots and copilots, AI agents that run multi-step workflows, and predictive ML models. Each one is anchored to a product we've already shipped. VakeelSaathi runs RAG over 50,000+ Indian Kanoon judgments. Dcomply runs 51 auto-connector agents across compliance data. RealZent's ShowUpAI scores no-show risk before every site visit.
How is Decipher different from other AI development companies in India?
Two reasons. First, we've shipped 11 AI products in production, so you can see the code running before you sign. Second, we don't hand over and disappear. Our operations team runs 500+ live systems, has done for 12 years, at 96% client retention. So we run the AI system after we build it. Most AI shops stop at handoff.
Which LLMs and AI models do you work with?
OpenAI (GPT-4o, GPT-4o mini), Anthropic Claude (3.5 Sonnet, Haiku), Google Gemini, Meta Llama for on-prem or private deployments. Embeddings: OpenAI text-embedding-3, BAAI BGE, or Cohere depending on language mix. Vector stores: Pinecone, Weaviate, pgvector. Frameworks: LangChain, LlamaIndex. Infra: AWS Bedrock, Azure OpenAI, self-hosted on GPU when data can't leave India.
How long does it take to build an AI system?
Discovery is one week. Prototype on your data is two to three weeks. Production build is four to six weeks after prototype signoff. So most AI projects go live in eight to ten weeks total. Operations start day one after launch.
How much does custom AI development cost in India?
Feasibility call is free. Prototype phase is a fixed fee (typically ₹1.5-4 lakh depending on scope). Production build is ₹6-25 lakh depending on complexity. Monthly operations (24/7 monitoring, retraining, patches, model API costs) start at ₹40,000/month. You'll get a written blueprint with numbers after the feasibility call. No surprises.
Can Decipher build AI that works in Indian languages?
Yes. VakeelSaathi handles legal drafting in 8 Indian languages including Hindi, Marathi, Tamil, Bengali, Telugu, Kannada, Malayalam, and Gujarati. We evaluate multilingual models for your use case. No one model wins everywhere in Indian languages, so we test before we commit.
Does Decipher handle data privacy and DPDP compliance?
Yes. We built Dcomply. India's DPDP Act 2023 compliance platform. Data residency, consent management, PII discovery across Aadhaar, PAN, GSTIN, UPI, breach notification, DSR handling. When we build AI for you, DPDP and sector-specific rules are part of the build, not an afterthought.
What happens after the AI is built?
We run it. Our operations team has managed 500+ live systems since 2014. That includes model API monitoring, cost control, quality evals, retraining when data drifts, patching, incident response, and quarterly performance reviews. You get one team from idea to production to steady-state operations.

Have an AI idea? Book a 30-minute call.

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.

Chat with Deci See 11 AI Products We Built →