Your AI, deployed right — on your hardware or in the cloud.
We design and deploy LLM systems for real business workflows — document Q&A, plain-language analytics, automation, an assistant for your whole team. On your own hardware when data can't leave. On cloud APIs when speed and scale win. We help you pick — then we build it.
Start with a $999 pilot — limited to our first 5 customers (then $1,999). No production data leaves your network — or you don't continue.
- Enterprise-bank data scientist
- UC Berkeley — Data Science + MIDS
- Privacy-first delivery
ask "Which contracts have a non-compete clause?"
searched 510 contracts · reranked · 5 passages
“Three agreements contain non-compete obligations — the co-branding deal restricts competing endorsements…” [1][2][3]
What do you want AI to do?
Pick the workflow that sounds like your day. Each one can run on hardware you control, on cloud APIs, or a mix of both.
Chat with your documents
A private assistant that answers questions from your PDFs, contracts, records, and wikis — with a cited source for every claim.
Learn more →Ask your data
Plain-English questions over your databases and spreadsheets. A local model writes the SQL, runs it read-only, and explains the answer.
Learn more →Workflow automation
Draft, summarize, classify, and extract at scale — the repetitive text work your team still does by hand.
Learn more →Private AI assistant
A ChatGPT-style assistant for your whole team — running entirely on your own hardware, under your policies.
Learn more →See it live: working proofs of concept
Ask Your Books — SQL-by-LLM analytics
Ask plain-English (or Vietnamese) questions about a sample books database. A local model writes the SQL, runs it read-only, and explains the answer — no data leaves the machine.
Private Document Assistant — RAG over 1,500+ papers
Chat with a research library running on local hardware: hybrid search, reranking, and a cited source for every claim. The same pipeline works over your contracts, case files, or records.
Clinical Notes Assistant — healthcare RAG demo
Ask questions over 1,500 synthetic patient encounter notes — diagnoses, medications, visits. Every answer cites the underlying record, and PHI never leaves the machine.
Why the deployment choice matters
Some data can't leave
HIPAA, client confidentiality, financial data controls. When a contract or regulator forbids sending data to a third party, on-prem isn't a preference — it's the only option, and we build it.
Some workloads shouldn't wait
Frontier models, no capital expense, running in weeks instead of quarters. For workloads without a data constraint, cloud APIs are usually the faster and cheaper answer — and we'll say so.
Most teams need both
Sensitive workflows on your hardware, everything else on cloud APIs, one coherent system across them. We size the split against your actual data and budget, not a vendor's roadmap.
Proven in regulated industries
If it's safe enough for privileged case files, patient records, and client financials, it's safe enough for your data — whatever industry you're in.
How we work
1. Discovery
Map your data sensitivity, workflows, and compliance obligations.
2. Pilot
Deliver a scoped 30-day pilot that proves value without exposing data.
3. Implementation
Deploy local infrastructure, ingestion, and monitoring for daily use.
The 30-day pilot, with no surprises
We agree on one workflow and a clear success measure before we start. Your production data stays on your network the whole time. If the pilot doesn't hit the measure we set together, you walk away — no implementation commitment.
- One working private workflow on your data (or a controlled sample)
- A written success measure agreed up front
- A short readout: what worked, what to fix, and the path to production
Pricing tiers
| Tier | Scope | Typical Investment |
|---|---|---|
| Pilot | 30-day scoped workflow demo with a defined success measure | $1,999 $999 First 5 customers only — $1,999 after |
| Implementation | Production-ready local AI stack | $15K–$25K |
| Retainer · Care | Keep it running: uptime monitoring, quarterly eval/prompt tuning, 3-day response SLA | $1.5K / month |
| Retainer · Grow | Care plus ~8 dev hours/month — one model refresh and one small ingestion source per quarter, next-business-day SLA | $3K / month |
| Retainer · Partner | Your outsourced AI team: ~20 dev hours/month, continuous tuning, priority fine-tuning at internal rates, same-day SLA | $5K–$6K / month |
Retainer add-ons
One-off upgrades on top of any retainer. Retainer clients get the rates below; standalone projects are quoted higher.
| Add-on | What it covers | Typical Investment |
|---|---|---|
| Model upgrade / swap | Move to a newer or better-fit model (re-embed + re-eval where needed) | $1.5K–$3K |
| New ingestion pipeline | Add a new data source — SharePoint, email, database, contracts — with parsing + chunking | $2K–$5K |
| New collection + routing tool | Stand up a new document set and wire it into the agent's routing | $2K–$4K |
| Custom fine-tune / domain adaptation | Data prep, training, and evaluation for a task-specific model | $5K–$12K |
| Eval harness / A-B prompt testing | Set up measurable retrieval + prompt evaluation so changes are provable | $1.5K–$2.5K |
FAQ
Do you use public AI APIs?
When they're the right tool, yes — and we'll tell you when they're not. Workflows under a confidentiality or regulatory constraint run on your own hardware, with nothing leaving your network. Everything else we'll happily build on Claude, GPT, or Gemini, because it's usually faster and cheaper. The deciding factor is your data, not our preference.
Can you integrate with our database?
Yes. We build SQL-by-LLM workflows that respect your existing access controls.
What industries do you serve?
Any industry with data it can't afford to leak. Legal, healthcare, and finance are where we have working proof, but the constraint is data sensitivity — not your industry.
How do I know whether we need local or cloud?
That's the first conversation, and it's usually short. If a contract or regulation forbids third-party processing, the answer is on-prem. If your volume is very high, on-prem tends to win on cost. Otherwise cloud APIs are the sensible starting point — and the application code moves later if that changes.
Ready to figure out what your workflow actually needs?
Book a discovery call or try the demo. We'll map one workflow and tell you straight whether it belongs on your hardware or on a cloud API.