Most AI projects never reach production. Demos are easy. Running systems are not. We’ve built production AI pipelines that process real documents, route real decisions, and operate unattended at scale. When we integrated LLM and OCR processing into a high-volume record business, throughput increased by 900%. That wasn’t a proof of concept – it was a working system running under load.
If your business has manual, repetitive processes that consume skilled labor time, there’s a strong chance automation can change that picture significantly. We help you figure out what’s actually automatable, build the system, and hand you something that runs.
What We Build
Document Processing Pipelines
OCR extraction, classification, and LLM-powered interpretation of unstructured documents – invoices, forms, records, contracts.
Workflow Automation
End-to-end process automation connecting your tools, data sources, and business logic without requiring manual hand-offs.
LLM Integration
Production integration of language models into your existing applications – classification, generation, summarization, routing, and decision support.
Data Extraction & Enrichment
Automated collection, normalization, and enrichment of data from disparate sources – turning raw input into structured, actionable records.
Custom API & Integration Work
Connecting systems that weren’t designed to talk to each other – REST APIs, webhooks, batch processing, and scheduled automation.
Performance & Scale
Existing automation that’s too slow, too fragile, or can’t handle volume. We diagnose, rebuild, and optimize for production load.
Engagement Types
Defined scope, deliverable, and timeline. Best for building a specific system or pipeline from scratch.
Ongoing development and iteration. Best when automation needs evolve continuously or require regular maintenance and expansion.
You have an internal team but need senior guidance. We review, advise, and keep your project from going sideways.
Who This Is For
- Businesses with high-volume manual processes consuming skilled labor time
- Companies that have tried AI tools but can’t get them to actually run in production
- Organizations with document-heavy workflows – intake, review, extraction, or routing
- Teams that need senior technical oversight for an internal automation project
Have a process you think could be automated?
Tell us what it looks like. We’ll tell you honestly whether it’s a good candidate and what it would take.
