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AI Agents & Automation · India · UAE · Europe · North America

AI that works on your real data,
not a demo.

LangGraph AI agents, production RAG systems, and compliance automation for FinTech NBFCs and D2C brands. Built with hallucination guardrails, audit trails, and load-tested before any deployment.

35 hrs/wk

Manual compliance work eliminated

FinTech client, 3-agent pipeline

23%

Churn reduction via AI personalisation

D2C brand, 6-month engagement

99.2%

RAG retrieval accuracy in production

vs 61% on first demo build

4–8 wks

Typical production RAG delivery

scoped, built, and handed over

Who this is for

Two verticals. Specific problems.

FinTech & NBFCs

Your compliance team is still doing manually what AI should handle.

Audit preparation, regulatory report generation, credit underwriting checks — your team is doing this manually, every cycle. We build LangGraph agents that handle these workflows end-to-end with full audit trails that satisfy RBI requirements.

  • Automated RBI regulatory report generation
  • Credit underwriting AI agents
  • Audit trail pipelines with full traceability
  • Document classification and routing
  • Exception alerting and escalation logic
D2C E-commerce

Your support team is answering the same questions. Your AI should be.

Tier-1 customer queries, order status, returns, personalised recommendations — all answerable by AI trained on your actual catalogue and order data. We build support bots that handle volume, escalate correctly, and feed retention signals back to your marketing stack.

  • AI support bot trained on your product catalogue
  • Personalisation engine tied to purchase history
  • Churn prediction signals from behavioural data
  • Post-purchase journey automation
  • Returns and refund handling workflows

What we deliver

Six AI capabilities. Production-hardened.

Every system is tested against your actual data volumes and edge cases before any deployment. Not on a curated demo dataset.

01

LangGraph Multi-step Agent Pipelines

Stateful AI agents that handle multi-step workflows: document review, credit checks, compliance routing, or customer escalation. Built with explicit failure handling and audit logging.

02

RAG Systems with Re-ranking & Guardrails

Retrieval-Augmented Generation built for production. Proper chunking strategies, semantic re-ranking, hallucination guardrails, and load-tested against your actual document corpus.

03

FinTech Audit Trail & Compliance Automation

AI agents that extract, classify, and route compliance data automatically. Reduces analyst time on audit prep from weeks to hours, with full traceability.

04

NBFC Regulatory Report Generation

Automated generation of RBI-format regulatory reports from your core banking data. Scheduled, validated, and ready for submission without manual intervention.

05

D2C Customer Support & Personalisation Bots

AI support agents trained on your actual product catalogue and order history. Handles tier-1 queries, escalates intelligently, and feeds personalisation signals back to your marketing stack.

06

Document Intelligence & Extraction

AI pipelines that process contracts, invoices, loan applications, and regulatory documents. Structured output to your database. Works with PDFs, scans, and mixed formats.

Technology stack

Tools your team can own after handover.

Built with

LangGraphLangChainOpenAI GPT-4oClaude 3.5PineconeAWS BedrockWeaviateFAISSPythonFastAPIPostgreSQL

Why it matters

Most AI demos work. Most AI systems don't.

The gap between a working demo and a production system is where most AI projects fail. Retrieval breaks on real documents. Hallucinations appear under volume. Audit requirements weren't built in from the start.

We have shipped 30+ cloud systems across FinTech, D2C, and logistics with zero production failures. That track record comes from building for failure modes, not just happy paths.

Retrieval accuracy target>95% in production
Hallucination guardrailsBuilt in, not added later
Audit trailFull LangGraph state logging
Load testingAgainst your actual volumes
Data securityNDA + least-privilege access
Post-delivery support30-day window, retainer available

Why TryData

Not a freelancer. Not a big agency.

Freelancer
Large Agency
TryData
Who builds your AI system
Whoever's available
Junior staff after the pitch
Senior engineers, every engagement
Pricing model
Hourly billing, scope creep risk
T&M, open-ended retainers
Fixed scope · Fixed price · No surprises
Production AI depth
Demo-grade prototypes
Generalist at scale
Guardrails, failure-mode testing & audit logging as the core discipline
Accountability
Disappears post-delivery
Diffuse across account managers
30-day support window + retainer option
Ownership & lock-in
Code quality varies, no docs
Proprietary tooling keeps you dependent
You own the code, infra, and docs — no lock-in

FAQ

Common questions.

Free audit

Is your AI system production-ready?

In 30 minutes we'll review your current AI setup or planned system, identify the top failure risks, and give you a prioritised fix list. No cost, no sales pitch.

dheeraj@trydata.io+91 8879352712
Mumbai · remote worldwide