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Innometrique · AI-First Engineering

We Build Intelligent Systems
That Actually Work

From RAG pipelines and LLM agents to SOPs and full-scale automation — we engineer AI that solves real business problems. Not demos, not prototypes. Production systems.

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LLM Fine-tuning RAG Pipelines AI Agents SOP Automation Vector Databases OCR & Document AI ML Model Deployment Data Engineering Smart Contracts Cloud & DevOps Copilot Development AI Workflow Automation LLM Fine-tuning RAG Pipelines AI Agents SOP Automation Vector Databases OCR & Document AI ML Model Deployment Data Engineering Smart Contracts Cloud & DevOps Copilot Development AI Workflow Automation

AI & ML at the Core,
Everything Else in Support

We're a specialist AI/ML engineering team — every engagement starts with intelligent automation as the primary driver. Data infrastructure, cloud, and product engineering exist to amplify it, not the other way around.

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LLM & Generative AI

There's a massive gap between a working LLM demo and one that handles real-world edge cases reliably. We close that gap — custom deployments, fine-tuning, prompt engineering, and domain-specific copilots built to last.

GPT-4o Claude Llama Fine-tuning
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RAG Pipelines

Retrieval-Augmented Generation is the most practical way to give LLMs access to your private knowledge — but most RAG implementations are brittle. We build them properly: semantic chunking, hybrid retrieval, reranking, eval loops.

Pinecone Weaviate LangChain LlamaIndex
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AI Agents & Automation

Autonomous agents that actually finish tasks — not just plan them. Multi-agent orchestration for SOP execution, document workflows, and any repeatable process that currently requires a human to sit and click through steps.

AutoGen CrewAI SOP Automation
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Document AI & OCR

Most organizations are drowning in unstructured documents — invoices, contracts, forms, reports. We build intelligent pipelines that extract, classify, and route structured data from any format, at any volume.

OCR NLP IDP
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Data Engineering

AI is only as smart as the data feeding it. We build the pipelines, warehouses, and real-time analytics infrastructure that keeps your models clean, your dashboards accurate, and your business decisions grounded in fact.

Spark dbt Airflow
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Cloud & MLOps

Getting a model to production is one thing. Keeping it there — monitored, retrained when it drifts, scaled when it needs to be — is another. We build the infrastructure that makes AI operations boring, which is exactly what you want.

AWS GCP MLflow
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From Problem to Production

Most AI engagements fail because nobody agreed on what "done" looks like. We fix that in week one.

01

Discover

We dig into your workflows, your data, and where the real bottlenecks are — not the stated ones. Then we identify the highest-leverage AI opportunity.

02

Architect

System design before code. We map the models, pipelines, APIs, and infrastructure — and flag trade-offs honestly before anything gets built.

03

Build & Iterate

Agile delivery with weekly demos. Evaluations run against your actual data, not benchmark datasets. You see progress every single week.

04

Deploy & Monitor

Production launch with full observability — drift detection, alerting, and ongoing optimization. You own everything we build.

Recent AI Projects

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RAG · Enterprise

Internal Knowledge Assistant for a 500-Person Firm

Multi-source RAG system pulling from SOPs, emails, and contracts — answering staff queries in under 2 seconds with citation tracking and access controls.

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Agents · Automation

SOP Execution Agent for Manufacturing QC

An autonomous agent that reads quality check SOPs, walks operators through each step, logs results, and flags anomalies without human coordination overhead.

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Document AI · OCR

Intelligent Invoice Processing Pipeline

OCR and NLP pipeline handling 10,000+ invoices per day — extracting and validating line items with 99.2% accuracy, down from a team of 8 people doing it manually.

Ready to Build Something Intelligent?

Tell us about your problem. We'll tell you exactly how AI can solve it — no fluff, no over-engineering, no inflated scope estimates.

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