Real-Time Fraud
Detection
DESCRIPTION
Streaming ML risk engine on 40M daily transactions; 12ms decisions, −63% fraud loss.
DELIVERABLES
Python, Kafka,
PyTorch, AWS
PyTorch, AWS
INDUSTRY
Finance
Outcomes,
Measured
Selected engagements from 480+ delivered projects — intelligent software, autonomous agents and
enterprise-grade security, shipped to production and measured in outcomes.
Selected Work
Real-Time Fraud
Clinical AI
Copilot
DESCRIPTION
RAG assistant drafts notes and surfaces guidelines in the EHR; 4.2h saved / clinician / wk.
DELIVERABLES
RAG pipeline, OCR, FHIR integration
INDUSTRY
Healthcare
Autonomous
Support
DESCRIPTION
Voice and chat agents resolving orders, returns and RMAs end-to-end; 71% auto-resolved.
DELIVERABLES
Voice & chat agents, Twilio, Vertex
INDUSTRY
Retail
Zero-Trust Cloud
Migration
DESCRIPTION
Multi-region Kubernetes rebuild with zero-trust controls and 24/7 platform operations.
DELIVERABLES
Kubernetes, CI/CD, IaC
INDUSTRY
Enterprise SaaS
The Cost of Waiting
Every quarter without automation
compounds the gap.
compounds the gap.
Manual Operations Cap Throughput
/ 01
80%
/Workload
Competitors Ship Faster
/ 02
65%
/Growth
Automation Stays on the Backlog
/ 03
70%
/Opportunities
Senior Engineers Absorbed by Toil
/ 04
49%
/Time Lost
Pricing Plans
From pilot to enterprise clear scope, transparent costs
annually.
Starter Plan
For pilots
$9,900
/ year
What’s included
Prove the architecture in two weeks: a working spike, an integration path, and a go/no-go call.
- Discovery workshop
- Opportunity brief
- Working prototype
- 1 data source & 1 integration
Enterprise Plan
For organisations
$19,900
/ year
What’s included
Compliance-ready delivery for regulated orgs—SOC 2 and ISO 27001 practices, multi-env releases and canaries.
- Everything in Starter
- CI/CD, tracing, alerts, guardrails
- Full eval dashboard
- 3 data source & 3 integration
FAQs
Frequently Asked
Questions
Questions
Discovery in week one, then a working v1 in weeks, not quarters. We ship in transparent, iterative milestones, so you review production-grade increments rather than status decks.
A clear problem statement, success metrics, access to sample data, and a stakeholder who can make decisions. We’ll run a kickoff workshop to align scope.
Whatever the outcome needs: Python, Kafka and PyTorch for real-time ML; LLMs, RAG and vector search for agents; AWS, Azure or GCP on Kubernetes underneath. Models stay swappable.
No. Model and API spend is scoped and forecast in the proposal, so you see the run rate before we build. Engineering, delivery and support are in the plan.
Contact
Let’s Build
What’s Next
What’s Next
E-mail address
hello@cryptonic.tech
Phone number
+1 (647) 555 0172