- Your IP, always
- Runs in your cloud, VPC, or on-prem
- Security and evals built in
- HIPAA-aligned, SOC 2-ready practices
- Outcome-based pricing
We work inside the stack you already run
Most companies have bought AI.
Few have made it pay.
You have the subscriptions and the dashboards. But the real work still moves at human speed, and most pilots never reach production. AI stalls when it is built over a wall, away from the messy reality of your operation. So we do the opposite: we deploy engineers inside your team, build on your real systems, and ship working software you own.
Pilots that stall
Great demos that fall apart on real data, security, or scale.
Work stuck between systems
People copying data between tools that were never built to connect.
AI you cannot trust yet
No tests, no audit trail, no control, so it never gets a real job.
Not a tool. Not a consultancy.
A deployment team.
A SaaS tool hands you software and wishes you luck. A consultancy hands you a deck and a bill. We embed engineers in your operation and ship the working system, then hand you the keys.
You do the work
- Generic software, your problem to fit
- Integration and adoption are on you
- Value only if your team makes it stick
You get a plan
- Slides, strategy, and a roadmap
- Billed by the hour, staffed in layers
- The build, if any, is handed off again
You get a running system
- Senior engineers embedded in your team
- Working software in your stack, in days
- Priced on the outcome, and the IP is yours
This is forward-deployed engineering: the model behind the hardest AI wins, now built for teams everywhere. See how we deploy.
of manual work removed from core tasks
faster cycle times once automated
from idea to a working pilot
of the IP stays yours
The kind of results we aim for with clients. We agree the metric up front, then measure it.
Six things we build
From a single model to a company-wide capability. We build the whole stack, and build it to hand over.
Custom AI Models
Models trained on your data
We train and tune models on your data and your domain, so the answers fit your business and the IP stays yours.
Learn moreAI Agents
Software that does the work
We build agents that plan, use your tools, and finish tasks inside your systems, with human checkpoints where they matter.
Learn moreProcess Automation
Rebuild the workflow, then run it
We map the slow, manual processes that hold you back and rebuild them so AI reads, decides, and routes the work end to end.
Learn moreEnd-to-End Adoption
From first pilot to company-wide
We help you adopt AI across the company, with the strategy, platform, and governance to make it stick and spread.
Learn moreData & Platform
The foundation good AI needs
We build the pipelines, search layers, and infrastructure that make your data clean, fast, and ready for AI.
Learn moreAI Products
Products with AI at the core
We design and ship the copilots, assistants, and apps where the AI is the product, not a bolted-on chatbot.
Learn moreYour data never has to leave your walls
We favor open models and open-source infrastructure you can run yourself. Everything we build can be deployed in your cloud, your private network, or fully on-prem, so you keep control of your data, your cost, and your IP.
See how we deployOpen models
Llama, Mistral, and other open weights you can host and fine-tune yourself.
Self-hosted
Run on your hardware or VPC with Ollama, vLLM, and your own keys.
Open data layer
pgvector, Qdrant, and Milvus for retrieval you fully own.
Private by design
No data sent to third parties unless you choose to. Full audit trail.
Your industry, your numbers
The same playbook, tuned to the tools and pressures of your world. Pick a field to see the problem we remove and the result we drive.
Review, reconcile, and comply at machine speed
Agents read statements and filings, match them against your ledgers, flag what looks wrong, and build an audit-ready file. Every step is logged.
Give clinicians their time back
Assistants draft notes, prior-auth requests, and codes inside your clinical systems. Privacy and a human sign-off are built in.
Catch problems before they cost a shift
Models watch your combined sensor and ERP data to predict failures. Agents triage alerts, draft work orders, and capture expert knowledge for reuse.
Personalize and support at scale
AI writes product content, tunes pricing to demand, and resolves support tickets end to end, all in your brand voice.
Real solutions, not slideware
Concrete reference builds we have shipped before. See the actual flow, the stack, and the outcome for each.
Invoice and statement reconciliation
Match the numbers, flag only the exceptions
Customer support deflection
Resolve the routine, escalate the rest with context
Document intake and extraction
Turn stacks of paperwork into clean, checked data
Ideas you can put to work
Concrete improvements you could ship with AI, by sector. Each one shows the opportunity, what we would build, and the outcome to expect.
Cut loan document review from days to hours
Give clinicians two hours back per day on prior-auth
Clear shipment exceptions before customers notice
One clear path, idea to production
No two-year programs and no black boxes. This is the path every engagement runs, each stage shipping something real you can measure.
- 1
Discover
Find the highest-value use case and agree the metric.
- 2
Data foundation
Connect, clean, and index the data the system will use.
- 3
Models & agents
Build the models and agents that do the actual work.
- 4
Guardrails & evals
Add tests, controls, and audit trails you can trust.
- 5
Deploy (your cloud)
Ship to production inside your own infrastructure.
- 6
Run & improve
Monitor, measure, and tune against the agreed number.
Every stage is a checkpoint. You see working software at each one, and nothing moves forward until the last step earns it.
How a deployment runs
No wall, no handoff. Our engineers deploy into your team, learn the operation first-hand, and put working software in your stack within days, then tighten it with your people until it holds. Every build sits on a reusable foundation, so each problem we solve makes the next one faster and cheaper.
See the full delivery flowEmbedded, senior
The people who scope the problem are the ones who build it.
Your real workflows
We build against your actual data, systems, and edge cases.
Live in days
You see working software early, then we iterate together.
Compounds over time
Each build reuses the last, so value grows and stays yours.
The tools at the front of AI
We work across the leading models, frameworks, and infrastructure, and pick the right ones for your job, your budget, and your constraints. We favor open source and tools you can run yourself.
Models & APIs
- OpenAI
- Anthropic
- Google Gemini
- Meta Llama
- Mistral
- Cohere
- Perplexity
- Hugging Face
- Ollama
- Replicate
Agents & Frameworks
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- MCP
- Temporal
- FastAPI
- Ray
- PyTorch
- TensorFlow
- Modal
Data & Retrieval
- Snowflake
- Databricks
- pgvector
- Pinecone
- Qdrant
- Milvus
- Weaviate
- Elasticsearch
- Redis
- ClickHouse
- Kafka
- Spark
Cloud, Run & MLOps
- NVIDIA
- AWS
- Azure
- Google Cloud
- Kubernetes
- Docker
- vLLM
- Vercel
- Grafana
- Prometheus
- Datadog
- Python
Systems we integrate
- Salesforce
- SAP
- ServiceNow
- Workday
- NetSuite
- Slack
- Jira
- Notion
- Confluence
- Shopify
- HubSpot
- Zendesk
A selection of what we build with. We are not tied to any vendor, and we choose the latest tools that fit the job.
Where the value really is
Our points of view on the blueprints that matter: agentic software, open models, private AI, and the architectures underneath them.
Why forward-deployed engineering wins in AI
The hardest AI problems are not solved over a wall. They are solved by engineers who sit inside the operation, see the real edge cases, and ship into production alongside the people who do the work.
Read perspective
The AI blueprints worth building right now
Most AI budgets are spread thin across pilots. The teams pulling ahead are concentrating on a short list of blueprints that pay back fast and compound.
Read perspective
Agentic software: from copilots to coworkers
Copilots suggest. Agents act. The shift changes the economics of work, and it changes what you need to build to trust the software.
Read perspective
Find your highest-value AI move in two minutes
Take the assessment. You get your readiness score and a clear place to start, then we turn it into a fixed-price plan in one working session.