AI That Goes Beyond
the Demo Room
Most AI projects fail not because the technology isn't ready — but because they're built without a clear path from pilot to production. We don't do pilots that die in a boardroom. Every AI system we build is production-ready, measurable, and designed to integrate into the way your business already works.
Our AI practice covers the full stack: data engineering, model selection and fine-tuning, agent architecture, deployment infrastructure, and ongoing monitoring. We've shipped AI into healthcare systems, trading platforms, logistics networks, and consumer apps — always with one goal: real ROI, not demo-day applause.
"AI will not replace humans.
Humans using AI will replace humans who do not."
We bridge the gap between complex machine learning research and high-impact enterprise execution. Partner with OzoStack to build intelligent automation that gives your business an unfair competitive advantage.
End-to-End Machine Learning Engineering
We build complete machine learning systems from the ground up — starting with your raw data and ending with a production model that makes autonomous decisions at scale. Our ML engineers bring academic depth and production experience: every model is built with scientific rigor, validated against real-world edge cases, and deployed with monitoring so it stays accurate as the world changes. We don't treat accuracy as the finish line. We treat business impact as the finish line.
Custom Model Architecture
Transformer, CNN, LSTM, GNN — we design architectures tailored to your data type and task, not templates from last year's tutorials.
Data Pipeline Engineering
Scalable ETL pipelines, feature stores, and data versioning that feed your models clean, consistent, and timely training data.
Model Training & Evaluation
Rigorous cross-validation, hyperparameter tuning, bias audits, and explainability reports — every model is accountable before it ships.
Real-time Inference APIs
Sub-50ms inference endpoints with horizontal scaling, load balancing, and model versioning — ready for millions of predictions per day.
Continuous Learning Systems
Automated retraining pipelines triggered by data drift detection — your model improves as your business evolves, with zero manual effort.
Edge & Mobile ML
TensorFlow Lite and CoreML deployment for on-device inference — full AI capability without cloud dependency or latency.
AI Designed Around Your Exact Business Context
Generic AI tools weren't built for the specific way your business operates, your industry's vocabulary, or your unique data structures. We build purpose-designed AI systems — intelligent document processors that understand your contracts, recommendation engines trained on your catalog, anomaly detectors calibrated to your operations, and decision-support tools that encode your domain expertise. You own the solution, the weights, and the advantage.
Intelligent Document Processing
Extract, classify, and validate data from invoices, contracts, medical forms, and legal documents — with human-level accuracy at machine speed.
Recommendation Systems
Collaborative filtering, content-based, and hybrid recommendation engines that increase engagement, basket size, and retention.
Anomaly & Fraud Detection
Real-time detection of unusual patterns in transactions, network traffic, manufacturing output, or sensor data — before damage occurs.
Semantic Search & Discovery
Vector-based search that understands meaning, not just keywords — across documents, products, support articles, and knowledge bases.
Domain LLM Fine-tuning
Fine-tune GPT, LLaMA, or Mistral on your proprietary data so the model speaks your industry's language with precision and confidence.
AI-Augmented Workflows
Embed AI decision-making into your existing ERP, CRM, or custom software — so intelligence flows through processes your team already uses.
Autonomous Agents That Think, Plan & Execute
AI agents are a step-change beyond chatbots. They don't just answer questions — they reason through multi-step problems, use tools, call APIs, make decisions, and execute actions autonomously. We build orchestrated multi-agent systems: a customer service agent that fully resolves tickets without human handoff, a research agent that gathers and synthesizes competitive intelligence, a sales agent that qualifies and follows up with leads 24/7, and workflow agents that coordinate actions across your entire tech stack.
Multi-Agent Orchestration
Hierarchical agent teams — Planner, Executor, Critic, Summarizer — working in parallel on complex tasks your business faces daily.
Tool & API Integration
Agents that connect to your CRM, ERP, Google Workspace, Slack, email, databases, and 100+ external APIs to take real-world actions.
Long-Term Memory
Episodic and semantic memory systems that let agents remember user preferences, past interactions, and domain knowledge across sessions.
Workflow Automation Agents
Agents that replace entire manual processes: data collection, report generation, approval routing, invoice processing, and compliance checks.
Human-in-the-Loop Design
Agents that know when to escalate, pause for human review, and resume — keeping humans in control of high-stakes decisions.
Agent Observability
Real-time dashboards showing agent decisions, tool calls, cost per run, and success rates — full transparency into autonomous operations.
Language Models That Understand Your Business
Natural language processing unlocks value hidden in text: support tickets, contracts, customer reviews, medical notes, financial filings, and internal documents. We build NLP systems that classify, extract, summarize, and act on text at scale — plus conversational AI that has real dialogue, remembers context, and resolves user goals instead of just answering one question at a time.
Conversational Chatbots
Context-aware chatbots for customer support, internal helpdesk, HR queries, and sales qualification — deployed on web, WhatsApp, or mobile.
Voice AI & STT/TTS
Real-time speech-to-text, voice commands, and natural text-to-speech powered by Whisper and ElevenLabs for voice-first experiences.
Sentiment & Tone Analysis
Real-time analysis of customer feedback, reviews, and support transcripts — surface unhappy customers before they churn.
Multilingual Systems
NLP pipelines that work across 50+ languages — supporting global operations with a single unified system.
Auto-Summarization
Condense lengthy documents, meeting transcripts, legal briefs, and reports into crisp, accurate summaries in seconds.
Information Extraction
Named entity recognition, relation extraction, and event detection from unstructured text at industrial scale.
Give Your Software the Power to See
Computer vision transforms cameras and images into business intelligence. We build systems that inspect products on a factory line faster than any human, detect safety violations on construction sites in real-time, recognize faces for secure access, read ID documents automatically, count inventory from drone footage, and analyze medical images with radiologist-level precision. If it can be seen, it can be automated.
Industrial Quality Inspection
Real-time defect detection on production lines — surface cracks, dimensional errors, color deviations caught before leaving the factory.
Face & Biometric Recognition
Contactless access control, attendance systems, and identity verification built on industry-leading face recognition models.
Video Surveillance & Analytics
People counting, zone intrusion detection, PPE compliance checking, and crowd analysis from live CCTV feeds.
Medical Image Analysis
AI-assisted diagnosis from X-rays, MRIs, CT scans, and pathology slides — accelerating clinician workflows with explainable confidence scores.
Document & ID Scanning
Automatic extraction from passports, licenses, Aadhaar, PAN cards, and business documents — KYC automation in under 3 seconds.
Retail & Shelf Analytics
Out-of-stock detection, planogram compliance, and customer behavior analysis from in-store cameras — without PII collection.
See Tomorrow's Problems in Today's Data
Predictive AI translates historical patterns into future confidence. We build forecasting models for demand, revenue, churn, maintenance, and risk — giving your decision-makers numbers they can act on, not just charts to admire. Our predictive systems integrate directly into your dashboards and operational tools, surfacing the right insight at the right time with calibrated confidence intervals — not just point estimates.
Demand Forecasting
Reduce inventory costs by 20–40% with ML models that predict demand by SKU, location, season, and market signal — weeks ahead.
Churn Prediction
Identify at-risk customers 30–60 days before they leave — so your retention team focuses on the people who actually need them.
Predictive Maintenance
IoT sensor data analyzed in real-time to predict equipment failure days before it happens — eliminating costly unplanned downtime.
Credit & Risk Scoring
Alternative data credit models and real-time risk scoring APIs for lending, insurance underwriting, and supply chain risk management.
Real-time BI Dashboards
Live analytical dashboards that surface predictions, trends, and anomalies — built in Streamlit, Grafana, or your BI platform of choice.
Time Series Modeling
ARIMA, Prophet, N-HiTS, and Transformer-based time series models for financial, operational, and environmental forecasting tasks.
Create, Generate & Augment at Scale
Generative AI isn't a novelty — it's a production tool. We build GenAI systems that write product descriptions for 100,000 SKUs overnight, generate on-brand marketing copy at scale, create synthetic training data, summarize thousands of documents in minutes, build interactive knowledge bases from your internal documentation, and power AI co-pilots that make every team member faster and more capable.
RAG Knowledge Systems
Retrieval-Augmented Generation that answers questions from your documents with source citations, low hallucination, and domain accuracy.
AI Content Pipelines
Automated generation of product descriptions, marketing emails, SEO articles, and social content — in your brand voice, at any scale.
Image & Visual Generation
Stable Diffusion and DALL·E integrations for product visualization, marketing assets, UI mockups, and synthetic training data.
AI Developer Co-pilots
Custom coding assistants fine-tuned on your codebase — accelerating development, enforcing standards, and reducing review time.
Multi-modal AI Apps
Systems that reason across text, images, audio, and documents simultaneously — unlocking use cases that single-modality tools can't touch.
Synthetic Data Generation
Generate privacy-safe synthetic datasets that mirror real-world distributions — solving the cold start problem for new ML projects.
The Infrastructure That Keeps AI Alive in Production
A model that works in a notebook is not a product. MLOps is the discipline of getting AI systems into production and keeping them reliable, accurate, and cost-efficient over time. We build CI/CD pipelines for ML, automated retraining triggers, model versioning systems, performance monitoring dashboards, data drift detection, A/B testing frameworks, and cost optimization architectures — so your AI investment pays dividends for years, not months.
ML CI/CD Pipelines
Automated training, evaluation, and deployment pipelines that promote models to production only when they pass quality gates.
Model Monitoring & Alerting
Real-time monitoring of model accuracy, latency, throughput, and data drift — with automated alerts before users notice degradation.
Feature Store Design
Centralized feature repositories shared across models — eliminating training/serving skew and reducing feature engineering duplication.
Inference Cost Optimization
Model quantization, distillation, batching strategies, and GPU/CPU routing that reduce inference costs by 50–80% without accuracy loss.
Model Registry & Versioning
Full lineage tracking — every model version, its training data, hyperparameters, and performance metrics — for audits and rollbacks.
Secure & Compliant AI
GDPR, HIPAA, and SOC 2-compliant ML pipelines with PII anonymization, audit logs, and model explainability reports.
Every AI Tool
We Work With
A complete catalogue of the AI models, frameworks, platforms, and infrastructure tools our team works with in production.
GPT-4o / GPT-4 Turbo
OpenAI · LLM
State-of-the-art multimodal LLM for text, image, and audio reasoning. Powers our advanced RAG and agent systems.
Claude 3.5 Sonnet
Anthropic · LLM
Industry-leading for code, long documents, and nuanced instruction-following. Preferred for complex reasoning.
Gemini 1.5 Pro
Google DeepMind · LLM
Exceptional for multimodal tasks and 1M token context. Used for long document analysis and video understanding.
LLaMA 3.1 / 3.3
Meta · Open Source
Top open-source LLM for self-hosted deployments where data privacy is critical. Fine-tunable on client data.
LangChain
LangChain · Framework
The standard framework for building LLM-powered applications. We use it for chains, agents, and tool integrations.
LangGraph
LangChain · Agent Framework
Graph-based agent orchestration for complex, stateful multi-step workflows with branching logic.
AutoGen
Microsoft · Multi-Agent
Microsoft's multi-agent conversation framework. Ideal for research agents and collaborative AI team architectures.
CrewAI
CrewAI · Orchestration
Role-based multi-agent system where AI agents act as a specialized crew for research and task delegation.
Pinecone
Pinecone · Vector DB
Managed vector database for production RAG applications. Handles billions of vectors with millisecond query times.
Weaviate
Weaviate · Vector DB
Open-source vector database with built-in LLM support for hybrid search combining keyword and semantic similarity.
ChromaDB
Chroma · Embedding DB
Lightweight embedded vector database for development and mid-scale production. Fast to spin up.
pgvector
PostgreSQL Extension
Vector similarity search directly inside PostgreSQL without adding a separate vector database service.
YOLO v8 / v10
Ultralytics · Detection
Real-time object detection and segmentation for manufacturing, retail, security, and autonomous systems.
OpenCV
OpenCV · Computer Vision
The foundational computer vision library for preprocessing, image augmentation, and classical vision tasks.
MLflow
Databricks · MLOps
Open-source ML lifecycle management for experiment tracking, model registry, and serving across projects.
Weights & Biases
W&B · ML Monitoring
Industry-standard for experiment tracking, hyperparameter sweeps, and team collaboration in ML projects.
AWS SageMaker
Amazon · ML Platform
Fully managed ML platform for training, hosting, and managing models at scale on AWS infrastructure.
Azure OpenAI
Microsoft · Enterprise
Enterprise OpenAI models with strict data privacy, HIPAA compliance, and Azure integration.
Browserbase
Browserbase · Web Tools
Headless browser infrastructure for AI agents that need to navigate the web, fill forms, and scrape data.
n8n
n8n · Automation
Open-source workflow automation platform connecting AI agents to 400+ CRMs, ERPs, and APIs.
Real Problems We've
Solved with AI
Every use case below reflects a real project category we've delivered — with actual results.
AI Medical Record Summarization
Built an NLP system that summarizes lengthy patient records into structured clinical notes in under 10 seconds — reducing physician documentation time by 60%.
Real-time Fraud Detection Engine
Deployed an ML fraud detection system processing 2M+ transactions daily with 99.2% accuracy — catching $4.8M in fraudulent activity in the first quarter alone.
AI Recommendation Engine
Custom collaborative filtering engine trained on 50M+ purchase events, increasing average order value by 28% and reducing cart abandonment by 19%.
AI Route Optimization Agent
Autonomous routing agent that re-optimizes 3,000+ delivery routes nightly using ML demand forecasting — cutting fuel costs by 22% across a national fleet.
AI Property Valuation Model
ML valuation engine trained on 5 years of local transaction data, producing instant valuations within 4.2% of final sale price — replacing 3-week manual appraisals.
Contract Intelligence Platform
RAG-based legal AI that reviews contracts, extracts key clauses, flags risk terms, and answers questions in plain English — reducing review time from days to minutes.
Estimate Your
AI Return
Adjust the sliders to see how AI automation could transform your business economics. Based on real results from our 60+ AI deployments.
Speed Multiplier
AI systems process tasks 50–200× faster than human-executed workflows without fatigue or error accumulation.
Accuracy at Scale
Consistent 94%+ accuracy on repetitive tasks — versus 85–92% for fatigued human workers on high-volume operations.
Compounding Returns
AI systems improve over time with more data — unlike human processes where cost scales linearly with volume.
AI ROI Estimator
Move the sliders to match your current operations
How We Choose the
Right LLM for You
Not every project needs GPT-4o. We match the model to your requirements — cost, speed, context, and compliance all factor in.
| Model | Context | Multimodal | Fine-tunable | Self-hostable | Best For |
|---|---|---|---|---|---|
| GPT-4o | 128K tokens | ✓ | ~ | ✗ | General tasks, agents, multimodal apps |
| Claude 3.5 Sonnet | 200K tokens | ✓ | ✗ | ✗ | Long docs, code, nuanced reasoning |
| Gemini 1.5 Pro | 1M tokens | ✓ | ~ | ✗ | Ultra-long docs, video understanding |
| LLaMA 3.3 70B | 128K tokens | ✗ | ✓ | ✓ | Private deployment, custom fine-tuning |
| Mistral 7B | 32K tokens | ✗ | ✓ | ✓ | Low-latency, cost-sensitive apps |
| Mixtral 8×22B | 64K tokens | ✗ | ✓ | ✓ | High throughput, balanced performance |
| Cohere Command R+ | 128K tokens | ✗ | ✓ | ~ | RAG systems, multilingual enterprise |
Your Data Is Ready.
Let's Put It to Work.
Free 45-minute AI strategy session. We'll map your highest-value automation opportunities and give you an honest assessment of what's technically feasible for your business right now.
NDA signed before call · 60+ AI projects delivered · Response within 2 hours