TryDataData Engineering & AI Automation · Mumbai
Your AI systems break
in production.
We prevent that.
TryData builds production-grade RAG pipelines, LangGraph AI agents, and data infrastructure for FinTech NBFCs and D2C brands. Systems engineered to hold under real load — not just demos.
30+
Cloud systems deployed
zero production failures
10+
Years in data engineering
FinTech, logistics, D2C
5.0 ★
Upwork rating
across 50 engagements
$180K
Saved for one FinTech client
analyst hours per year
Client results
Numbers, not narratives.
Real results from client engagements — details anonymised.
FinTech
Data Engineering + BIProblem
Month-end close took 3 weeks in Excel. Error-prone, blocking strategic decisions.
What we built
Automated pipeline from 6 source systems, real-time financial dashboard, anomaly alerting.
3 wks → 2 hrs
Report generation
99.8%
Data accuracy (was 91%)
$180K / yr
Analyst hours saved
D2C E-commerce
AI Applications + AnalyticsProblem
No post-purchase visibility. Rising CAC, high churn, unoptimised spend.
What we built
Customer data platform, churn prediction models, real-time personalisation engine.
23%
Reduction in churn
41%
Email open rate lift
3.2×
Marketing ROI
Logistics
Cloud Infrastructure + AutomationProblem
Manual reconciliation across 4 carrier systems. 30+ hrs/week, frequent billing errors.
What we built
Unified data lake, automated reconciliation with exception alerting, live ops dashboard.
35 hrs/wk
Manual work eliminated
40%
Infrastructure cost saved
Zero
Billing disputes, 6 months
What we build
Two things. Done properly.
Production RAG & AI Agents
Most RAG demos don't survive contact with production data.
We build retrieval pipelines with proper chunking, re-ranking, hallucination guardrails, and LangGraph orchestration — tested against your actual data volumes and edge cases before go-live.
- LangGraph multi-step agent pipelines
- RAG with re-ranking & hallucination guardrails
- FinTech audit trail & compliance automation
- NBFC regulatory report generation
- D2C customer support & personalisation bots
Data Infrastructure & Pipelines
ETL pipelines that don't break at 2 AM.
We design, build, and hand over production data infrastructure — with monitoring, documentation, and a 30-day support window included. Analysts actually use what we build.
- ETL/ELT pipeline development
- Data warehouse & lakehouse architecture
- Real-time analytics & BI dashboards
- Multi-cloud: AWS, Azure, GCP
- RBI compliance & regulatory exports
How we work
Audit call to production system.
01
30-min audit call
We review your stack or AI pipeline, identify the top failure risks, and tell you exactly what needs fixing. No sales deck — just an engineer's honest read.
02
Scoped proposal
Fixed scope, fixed price, fixed timeline. The person who scopes it builds it. No junior engineers swapped in after the pitch.
03
Build in production conditions
We build against your real data volumes and edge cases, not synthetic demos. Weekly progress updates, full transparency throughout.
04
Handover + 30-day support
Full documentation, runbooks, and a 30-day support window. You own the system — we ensure your team can operate it independently.
About TryData
Senior engineers on every engagement. No hand-offs.
TryData is a specialist data engineering consultancy based in Mumbai. We work on two problem spaces — production AI systems and data infrastructure. The engineer who scopes your project is the same person who builds and delivers it.
10+ years of engineering across FinTech, logistics, and e-commerce. 30+ cloud systems shipped with zero production failures. 5.0 on Upwork across 50 engagements.
Client feedback
What clients say.
"Excellent working with Dheeraj. Knowledgeable, professional, and hard-working. Deep expertise around AWS Services and building ETL pipelines. Very responsive throughout — will certainly rehire."
Jonathan Placa
Data Engineering Manager
FinTech Platform · New York, USA
"Dheeraj demonstrated a deep understanding of cloud infrastructure and AWS services. His CDK expertise automated complex provisioning tasks and translated business requirements into maintainable architectures."
Karthik Gopal
Cloud Solutions Architect
Enterprise SaaS · Plano, USA
"His expertise with EC2 configuration, network connectivity, and database migration was outstanding. Reliable, responsive, and proactive in identifying issues — ensured a smooth, successful delivery."
Vlad K.
AWS Migration Lead
Enterprise · Toronto, Canada
FAQ
Common questions.
Free audit
Is your RAG pipeline production-ready?
In 30 minutes we'll audit your current setup, identify the top failure risks, and give you a prioritised fix list — at no cost.