TryDataData Engineering & AI Automation · Mumbai
Your AI systems break
in production.
We prevent that.
TryData turns data chaos into automated systems that finance teams, ops teams, and customers can actually rely on: AI agents, data pipelines, and dashboards built to survive 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
Who we work with
We specialise in two verticals.
Deep domain knowledge beats generalist delivery every time. Pick the one that fits.
RBI compliance shouldn't take your team two weeks every quarter.
Your analysts are buried in Excel reconciliations, regulatory exports, and audit prep. Every month. Decisions wait. Errors compound. Regulators don't.
- Automated RBI regulatory report generation
- Real-time risk dashboards for loan book monitoring
- LangGraph audit trail pipelines with full traceability
- Month-end close cut from weeks to hours
- AI agents for credit underwriting & compliance checks
$180K
analyst hours saved annually, verified by one FinTech client
You're spending on acquisition but can't see why customers churn.
CAC keeps climbing. Post-purchase visibility is a black box. Your marketing team is optimising spend without knowing which customers actually stick around.
- Customer data platform unifying all purchase signals
- Churn prediction models tied to real retention actions
- Real-time personalisation engine for email & on-site
- Marketing attribution dashboards that reflect true ROI
- AI support bots trained on your actual product catalogue
3.2×
marketing ROI lift across a 6-month D2C engagement
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.
AI Agents & Automation
Intelligent automation that handles repetitive decisions, compliance checks, and customer interactions. Your team focuses on work that actually needs humans.
Most AI demos work on clean data. Your production data isn't clean.
We build AI agents and retrieval systems with proper orchestration, hallucination guardrails, and failure-mode testing. Everything is validated against your actual data volumes and edge cases, not synthetic samples.
- LangGraph multi-step agent pipelines
- RAG systems with re-ranking & hallucination guardrails
- FinTech audit trail & compliance automation
- NBFC regulatory report generation
- D2C customer support & personalisation bots
Data Infrastructure & Pipelines
Reliable pipelines, warehouses, and dashboards your finance, ops, and marketing teams can trust. Built to handle your actual data volume, not a spreadsheet.
ETL pipelines that don't break at 2 AM.
We design, build, and hand over production data infrastructure complete with monitoring, documentation, and a 30-day support window. 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
Why TryData
Not a freelancer. Not a big agency.
Freelancers bring one skill set with no structure. Large agencies send seniors to pitch and juniors to build. TryData is neither.
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 and your team can operate it independently from day one.
About TryData
Senior engineers on every engagement. No hand-offs.
After 10 years building data systems at enterprise scale, Dheeraj started TryData with one rule: the engineer who scopes the project ships the project. No handoffs to junior staff. No surprises after the pitch. Just systems that work.
30+ cloud systems shipped with zero production failures. $180K in documented client savings. 5.0 on Upwork across 50 engagements. We specialise in FinTech NBFCs and D2C brands because deep domain knowledge beats generalist delivery every time.
Client feedback
What clients say.
Month-end reporting cut from 3 weeks to 2 hours
"Excellent working with Dheeraj. Knowledgeable, professional, and hard-working. Deep expertise around AWS Services and building ETL pipelines. Very responsive throughout and will certainly rehire."
Jonathan Placa
Data Engineering Manager
FinTech Platform · New York, USA
Complex cloud provisioning fully automated with CDK
"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
Enterprise AWS migration delivered with zero downtime
"His expertise with EC2 configuration, network connectivity, and database migration was outstanding. Reliable, responsive, and proactive in identifying issues, which ensured a smooth and successful delivery."
Vlad K.
AWS Migration Lead
Enterprise · Toronto, Canada
FAQ
Common questions.
Free audit
Is your data stack holding you back?
In 30 minutes we'll review your current data or AI setup, identify the top failure risks, and give you a prioritised fix list. No cost, no sales deck. Just an engineer's honest assessment.