Private & Local AI
Open models on your own servers — your data never leaves
We build custom AI that runs entirely on infrastructure you control: local language, vision and speech models for image recognition, bulk document parsing, audio transcription and private assistants — using Ollama, vLLM and llama.cpp on your hardware or in your private cloud.
When the cloud isn’t an option
Some data shouldn’t leave the building: personnel files, medical or legal records, contracts, recorded calls, security footage. Other workloads are simply too large to send to a pay-per-call AI service — a backlog of a hundred thousand scanned pages, or years of recorded meetings.
Open-weight AI models have become capable enough to handle much of this work on your own servers. We design, install and run those systems, so you get the benefits of AI without handing your data to anyone.
Why run AI locally
Data stays with you
Documents, images and recordings are processed on hardware you control. Nothing is sent to a third-party AI service.
Works offline
Local models run in private networks and air-gapped environments where cloud AI isn’t allowed.
Predictable cost at volume
For large, repetitive workloads — thousands of pages or hours of audio — you pay for hardware, not per call.
Tuned to your work
Choose and configure models for your documents, vocabulary and formats, and keep the same version for as long as you need.
How a local AI pipeline works
Your inputs
- Documents & scansPDFs, forms, contracts
- ImagesPhotos, inspections, scans
- Audio & videoCalls, meetings, interviews
- QuestionsFrom staff and apps
Local AI server
- Job queueBulk jobs, retries, priorities
- Vision & OCR modelsRecognize, read, classify
- Speech-to-textWhisper-family models
- Language modelsVia Ollama, vLLM or llama.cpp
Results
- Structured dataJSON, CSV, your database
- Search indexFor private assistants
- Review queuePeople check low-confidence items
- API & MCP toolsFor your apps and AI agents
- Your servers
- Your private cloud GPUs
- Air-gapped networks
- No third-party AI calls
What we build
Image recognition
Classify, tag and inspect images; detect objects; read text from photos and scans (OCR) — with results written straight into your systems.
Bulk document parsing
Turn large backlogs of PDFs, scans, forms and contracts into structured data: fields, tables, summaries and classifications.
Audio & video transcription
Local speech-to-text with Whisper-family models: transcripts, speaker turns, summaries and searchable archives of calls and meetings.
Private assistants & search
Chat and question-answering over your own documents, with retrieval (RAG) and embeddings computed on your servers.
Review queues
Low-confidence results go to a person to check, so automation speeds up the work without guessing.
Connected to your tools
A simple API for your applications, and MCP servers so Claude, ChatGPT or internal agents can use the local models’ results.
The tools we use
We pick the runtime and models per job, and keep them swappable as better open models are released.
Ollama
The quickest way to run open models on a server or workstation, with a simple local API.
vLLM
High-throughput serving on GPU servers for many users or large batch jobs.
llama.cpp
Efficient models on modest hardware, including CPU-only machines.
Open models
Open-weight model families such as Llama, Mistral, Qwen and Gemma for text, plus vision and Whisper speech models — chosen per task.
Where it runs
Anywhere you control — sized to the workload rather than to a vendor’s plan.
Your own hardware
GPU servers or capable workstations in your office or data center. We size the hardware to the workload.
Your private cloud
GPU virtual machines in your own Azure, AWS or Google Cloud account, inside your network boundary.
Air-gapped
Fully disconnected environments, with models and updates brought in through your approved process.
How we deliver
Assess
Pick the workload, collect sample documents, images or recordings, and agree what “good” looks like.
Pilot
Test candidate models on your samples and measure accuracy and speed on realistic hardware.
Build
Pipeline, queue, review screen and API, installed on your servers or private cloud.
Run
Monitoring, model updates and support — by us or handed over to your team.
Contact us
Keep your data, use AI anyway
Send us a sample of the documents, images or recordings you need to process, and we’ll show you what local models can do with them.
- 202.747.3355
- [email protected]
- 1717 K St., N.W. Suite 900, Washington, DC 20006