Case studies

Outcomes we're proud of

A look at the challenges our clients brought us, how we solved them, and the measurable impact that followed.

All Case Studies

FinTypeFintech
Challenge
Manual fraud review queues were growing faster than the analyst team, delaying legitimate transactions and increasing losses.
Solution
Built an agentic triage system that scores, routes, and pre-summarizes flagged transactions using a custom risk model and human-in-the-loop review.
  • Python
  • AWS
  • LangChain
  • PostgreSQL
74%
faster reviews
$2.1M
annual loss avoided
Meridian HealthHealthcare
Challenge
Clinicians spent significant time searching fragmented guideline documents during patient visits, slowing care decisions.
Solution
Delivered a HIPAA-aware retrieval-augmented assistant indexing clinical guidelines and internal protocols with source-cited answers.
  • Next.js
  • Azure
  • OpenAI
  • Vector Search
3.2M
documents indexed
61%
faster guideline lookup
LoopcartRetail
Challenge
An aging checkout platform caused cart abandonment and couldn't support new payment and fulfillment options.
Solution
Rebuilt the checkout and inventory platform on a modern cloud-native stack with a phased, zero-downtime migration.
  • React
  • Node.js
  • AWS
  • Stripe
+21%
conversion rate
-38%
page load time
Cobalt LogisticsLogistics
Challenge
Dispatch relied on spreadsheets and manual calls, leading to inefficient routes and inconsistent delivery windows.
Solution
Implemented a real-time route optimization and visibility platform integrated with existing fleet telematics.
  • Python
  • GCP
  • Kafka
  • PostGIS
17%
lower fuel cost
99.1%
on-time delivery
Aurora ManufacturingManufacturing
Challenge
Unplanned equipment downtime was disrupting production schedules and inflating maintenance costs.
Solution
Deployed a predictive maintenance system combining IoT sensor data with a forecasting model to flag failures before they occur.
  • Python
  • AWS IoT
  • TensorFlow
  • Grafana
-46%
unplanned downtime
$1.4M
annual savings
Northwind CapitalFinance
Challenge
Quarterly forecasting relied on manually assembled spreadsheets, leading to slow, error-prone reporting cycles.
Solution
Built an automated financial forecasting and reporting platform with anomaly detection and executive dashboards.
  • TypeScript
  • Snowflake
  • Anthropic
  • Looker
5x
faster close cycle
92%
forecast accuracy

What clients say

TecInfinitum felt less like a vendor and more like our smartest engineering team. They shipped an AI feature we'd been stuck on for a year — in six weeks.
Priya Nair · VP Product, FinType
They didn't just build what we asked for — they challenged our assumptions and got us to a better, simpler architecture that's held up under real load.
David Okonkwo · CTO, Cobalt Logistics
The forecasting platform paid for itself in one quarter. Our finance team finally trusts the numbers on the dashboard instead of rebuilding them by hand.
Elena Marsh · CFO, Northwind Capital
Security and compliance were never an afterthought with TecInfinitum. They understood our regulatory constraints from day one, which saved us months.
Dr. Sarah Lin · VP Engineering, Meridian Health

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