Interactive
TCO calculator
Plug in corpus size, training cadence, and concurrency. See three-year hardware vs cloud vs hybrid totals against the actual hardware tier list.
OpenPillar 2 · Compound · Layer · Improve · Carry forward
Build AI that compounds on your IP — without buying a hyperscaler.
You want your AI to learn your deal-flow, your product, your customers, your voice. Hyperscalers won't do that — and even if they would, you can't justify the GPU capex against a maybe-it-works business case. Your options today: rent generic AI forever, or roll your own and fail.
Evidence
Every claim with a proof.
No screenshots-only feature pages. Every item below runs against a sandbox, downloads as a real artefact, or links to an externally-verifiable record.
Interactive
Compounding-curve chart
Slide a control through year 1, 2, 3 and watch capability lift over a base-model + RAG baseline on the user's decision-class benchmark.
OpenLoRA case study
An anonymised 18-month journey: from RAG baseline to weekly LoRA cycle to monthly DPO. Lift numbers, training-set composition, what worked.
OpenCode
Decision-journal data model
How the reinforcement loop accumulates preference + outcome data over years — without anything leaving your appliance.
OpenFive-year asset trajectory
What does year 5 of compounding look like? Honest framing of when the IP starts to differ measurably from a generic foundation model + RAG.
OpenHow it works
The architectural choices behind the promise.
Day 1: RAG over your corpus, model retrieves and answers. Day 30: structured eval harness scores outputs against your preferences. Day 90: training pipeline (LoRA, DPO, continued pretraining) runs against the data you've curated. Year 1+: the preference dataset accumulates outcome ratings; reward modelling kicks in. The pipeline is portable — when a stronger base model ships, your LoRA + RL adapters re-fit onto it.
Read the full system viewWhat it costs
Pricing
Compounding is a function of compute spent on training. Tier pricing scales with hardware footprint. Cloud-burst training is available where data residency permits. Talk to the discovery agent for a sized recommendation.