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AI & Machine Learning Engineering · Production-Grade ML Systems

AI systems built for
production,
not just prototypes.

From GenAI / LLM integration to intelligent automation, ML pipelines & analytics, and AI-powered fraud detection - we embed intelligence into your product as core architecture, not a bolt-on. 15+ years of enterprise engineering discipline applied to every model we ship.

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AI / ML Platform Architecture
🧠
LLM Orchestration & RAG Pipeline
GenAI
🔎
Vector Search / Embeddings Store
Fast
🤖
Real-time Model Serving Layer
AI/ML
📊
Feature Store & Data Pipelines
Scalable
🛡
Model Guardrails & Governance
Secure
✅
Human-in-the-loop Review Layer
Compliant
Inference latency Sub-50ms p95
2+
AI-integrated platforms delivered
10×
Concurrent sessions unlocked with AI
<50ms
AI-augmented inference latency
ISO
27001 certified security
Our AI capabilities

Four areas where we
go deep on AI.

All case studies →
GenAI / LLM Integration
LLM-powered copilots, retrieval-augmented generation (RAG), and natural language interfaces embedded directly into your product - engineered for accuracy, latency, and cost control.
GenAI / LLM IntegrationRAG Pipelines Vector SearchPrompt Engineering
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Intelligent Automation
Workflow automation, intelligent document processing, and MLOps-driven model serving that replaces manual operational work with reliable, monitored systems - built with the same production rigour as our core Java systems.
Workflow AutomationModel Serving Feature PipelinesIntelligent Document Processing
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ML Pipelines & Analytics
High-throughput pricing and analytics engines with AI-driven personalisation and real-time pipelines, processing 100K+ transactions daily at sub-50ms latency.
100K+ tx/daySub-50ms AI PricingEvent-Driven
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AI-Powered Fraud Detection
ML models for real-time anomaly detection, identity fraud prevention, and intelligent transaction monitoring - deployed alongside our ACH/RPPS payment and Video KYC platforms, not just static, rule-based filters.
Fraud DetectionAI Face Matching Anomaly DetectionReal-time Scoring
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Have a different AI challenge?
We also work on document intelligence, computer vision, predictive analytics, and AI readiness assessments for legacy platforms. Let's talk.
Talk to our AI team →
Why OKRUTI for AI

Production discipline meets
intelligent systems.

AI that only works in a demo isn't AI - it's a liability. Our team brings the same enterprise engineering rigour we apply to fintech and BFSI systems to every model we ship.

01
AI as core architecture, not an add-on
We design intelligence into the system from day one - data pipelines, feature stores, and inference layers - rather than bolting a model onto an existing product.
02
Production-grade MLOps discipline
Versioned models, monitored inference, reproducible pipelines. The same CI/CD rigour we apply to Java microservices, applied to ML.
03
Domain-aware AI for regulated industries
Our fintech and BFSI background means we design AI systems that are compliance-aware from the start, not retrofitted after an audit.
04
Human-in-the-loop safety & guardrails
Every AI system we ship includes review checkpoints, guardrails, and monitoring - so intelligent automation never means unsupervised automation.
AI governance & standards we work with
MRM
Model Risk Management
Structured validation before production rollout
XAI
Explainability
Interpretable outputs for regulated decisions
DPDP
Data Privacy
India DPDP & global privacy alignment
ISO 27001
Information Security
Independently certified annually
HITL
Human-in-the-loop
Review checkpoints on high-impact decisions
Bias Audit
Fairness Review
Ongoing model bias & fairness monitoring
Proof of delivery

AI-powered case studies

All case studies →
Fintech · AI · KYC
Scaling Video KYC for Major Banks & Insurers
Re-engineered a VideoKYC platform for a leading provider trusted by major private banks in India, resolving critical concurrency and onboarding bottlenecks with AI-powered identity verification.
Key result:60% faster onboarding · 10× concurrent sessions
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Fintech · AI · Performance
Real-time Pricing Engine at 100K+ Transactions/Day
Redesigned a sluggish pricing system into a sub-50ms, AI-augmented event-driven engine handling 100K+ daily transactions, with GridGain in-memory computing and Kafka event streaming.
Key result:<50ms latency · 99.9% uptime · AI personalisation
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Retail · AI · Automation
Automated Pricing Orchestration for a Retail Chain
Replaced manual, error-prone price adjustments with an AI-powered pricing engine analysing sales and demand patterns to recommend optimal pricing in real time across thousands of SKUs.
Key result:100% manual pricing eliminated · real-time AI recommendations
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Our AI stack

Technologies we use
on every AI engagement.

OpenAI / Claude / Gemini APIs LangChain / LlamaIndex Vector Databases Python / PyTorch Java & Spring Boot Apache Kafka Redis / GridGain MLflow Microsoft Azure Microservices Model Monitoring Docker / Kubernetes DevOps / CI-CD
Get in touch

Let's talk about your platform.

Whether it's a new Spring Boot build, a legacy modernisation, or something in between - tell us what you're working on and we'll respond within 24 hours.

✉️
📍
Location
Jaipur, India · Global delivery
We reply within 24 hours.
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