Adaptive AI stack · Self-improving
One gateway.Every AI product and workflow.Gets sharper as it runs.
Stimulir sits between your products, workflows, and AI providers. It captures traces, costs, corrections, and accepted outcomes from every run. Repeated patterns get internalised into the inference path.
No credit card required · Self-onboard in minutes · Vision, audio, and image live
The gap
AI usage does not become improvement.
Every AI interaction creates signal: prompts, tool calls, approvals, corrections, traces, costs, failures, and accepted outcomes. Most stacks observe that signal. Few turn it into better inference.
Usage stays as logs
Execution traces accumulate in observability tools and stay there.
Feedback loops are manual
Teams inspect failures, adjust prompts, and patch workflows by hand. The loop runs on human time. Every prompt adjustment, failure review, or workflow patch is an engineering hour that does not compound.
The stack does not compound
Serving, tuning, orchestration, evals, execution, and observability are separate systems. They do not improve together.
Without a closed loop between execution and inference, the stack resets to zero on every run.
How It Works
Observe.
Internalise.
Execute again.
01, Capture
Stimulir captures workflow traces, tool calls, corrections, approvals, artifacts, usage, cost, failures, and accepted outcomes. That evidence feeds back into how the next run is served.
02, Observe
Cost, usage, and outcomes for each task in one place. Every accepted outcome and correction is logged. Nothing is a black box.
03, Internalise
Repeated usage and execution patterns are distilled into lightweight inference adapters. The next run starts from what the previous runs established, rather than from a blank context.
04, Execute again
Every subsequent run is informed by all prior accepted outcomes and corrections. The stack serves it more accurately, without manual tuning.
02, What you get on Day One
One integration, every modality
Vision, audio, and image workflows behind a single gateway, instead of stitching providers together yourself.
See what every task costs
Cost, usage, and outcomes for each run in one place. Know your AI spend and why, in real terms.
Self-serve from minute one
Sign up, send a real task, see the result and the cost. No call, no waitlist, no credit card.
Human-in-the-loop
Flag edge cases for review. Keep humans in control without slowing down the workflow.
Today · 24 tasks
all accepted
Vision to text
Audio to text
Text to image
Text to Audio
This month
847K
Tasks processed
$0.003
Avg cost per task
0.93
Accepted rate / 100 runs
2.1s
Avg response time
03, Why it compounds
The longer it runs,
the sharper it gets.
Execution evidence
Every workflow creates traces, artifacts, approvals, corrections, failures, and outcomes. The signal is captured from your first run.
Cost and usage visibility
One view of what your AI workflows cost and produce, so spend stops being a black box across your stack.
Persistent inference
Repeated usage gets internalised into the inference path, so accepted outcomes and corrections sharpen the next run automatically.
Adaptive routing
The stack learns which model, adapter, or provider fits each workflow, and orchestrates it for you. Provider and model selection is handled automatically, so inference cost decreases as the stack learns your workflow patterns.
Pricing
Choose your infrastructure.
Add continuous improvement when you're ready. Platform access is fixed; AI usage is metered separately.
£0
No credit card required
£50
/ month + usage
Own keys or managed inference. Usage billed separately.
£200
/ month platform fee
Enterprise infra in your cloud. + one-time setup fee.
Everything in Platform, plus:
AI Capability Engineering
Add-onForward-deployed team that continuously improves your AI. Sits on top of any plan.
Custom pricing
Contact salesBYOC and add-on pricing are scoped at sales.
From the lab
Adaptive Intelligence
Introducing a new class of AI systems that improve from usage, not just from training.
Read on Substack ›Adaptive Compute
How to unlock compute everywhere, routing inference across providers without rewiring your stack.
Read on Substack ›Adaptive Memory
Scaling continual learning so your stack retains what it has learned across every run.
Read on Substack ›Agentic Frame
What if your agent could remember, improve, and adapt, without you touching the prompt?
Read on Substack ›Connect your first AI use case through Stimulir.
See the cost, usage, and outcome in one place. Every run adds to the inference signal. Cost falls, accepted rate climbs.
No spam. No credit card. Your first real task runs in minutes.
Get In Touch
Ready to run workflows
that get sharper?
Drop your details and we'll reach out with a walkthrough and onboarding plan. No spam. We reply within 24 hours.



