Give us the work your team keeps repeating. We build a private AI system around it, inside your own boundary, test it on the real job, and hand over the source, the tests and the runbook.
Every model call, document and log stays on infrastructure you control.
The work we take off your team
01 · The job
06 · After launch
At these numbers a system pays for itself in about 5 months.
An estimate on your numbers at the published starting prices: $2.5K scope and $15K build. Not a quote. The scope measures the real figure.
Send these numbersWhat you receive
What you receive
What you receive
The scoping fee is credited toward an approved build. The final price and delivery timing are agreed before the build begins.
Request a scope01 · Paid technical scope · example deliverable
The connections, decisions and controls around the model are what make it useful in production.
APIs, documents, databases and live feeds are connected with explicit rules for access, retention and retrieval.
Privacy, latency, accuracy and cost decide the model. Policy checks, budgets and human approvals stay visible before anything acts.
Approved tools do the work while telemetry, exceptions and outcomes stay available for review and debugging.
We build and run our own systems: an AI platform, a model benchmark, a research desk and an execution API. Judge us on those.
Platform
Our own uncensored model, behind the OpenAI API, run from one dashboard. No prompt logs.
See itBars from 92% · July 2026
Benchmark
106 financial-reasoning cases across 16 categories, 15 models. July 2026 run · strict prompt mode · single run.
See itDoes Coverage Acceleration Add Signal Beyond Velocity in Market-News Lifecycles?
Priority Ordering in Perpetual CLOBs: Measuring the Latency Tax on Takers
Mean Reversion Speed in Solana DeFi Tokens: OU Half-Life Estimation Across Market Regimes
Research
55 published studies on models, markets and agents. Written in-house and not peer reviewed.
See itExecution
Perp orders and cross-chain swaps through one API, with limits, approvals and receipts attached.
Open itA paid technical scope, from $2.5K, takes 5–10 business days. You get the workflow and data map, the model and infrastructure boundary, the control design, a capacity and cost model, and a deployment scope with milestones. The fee is credited toward an approved build.
From $15K. The final price and the delivery dates are agreed from the scope, before any build work starts.
Where your data already lives: on your own hardware inside your network, in your own cloud account with your keys, or hybrid, with the sensitive steps kept local.
You choose. A person approves each action, it acts alone inside limits you set, or it runs only a pre-approved playbook. Every action lands in an audit log.
The source code, the tests, the controls and a runbook. Run it yourself, or we run it for you.
No. Operations and support, from $3K a month, covers monitoring and incident response, model and workflow updates, a monthly operating review and priority support. Or your team runs it from the runbook.
Whatever fits the job. Privacy, latency, accuracy and cost decide it, and sensitive work can stay on open-weight models inside your boundary. We test models before we trust them: QuantBench is our own benchmark.
The workflow, the data it touches and the result you need. Someone on your side who owns the result helps most.
Is this a fit?
01 · The job
02 · Where the data lives
03 · Volume per week
04 · Deployment
05 · Approvals
A starting point to talk through. The scope settles the real architecture.
Automate reviewing claims from email and PDFs & scans — about 1,000 a week, inside your network, with a person approving each action.
Paid technical scope
from$2.5K
Credited toward an approved build.
Or write to connect@venym.io·Bangkok, Thailand