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

Vision → TextLive
Audio → TextLive
Text → ImageComing soon
Text → AudioLive
Audio → AudioLive
Document OCRLive
Call TranscriptionLive
Image GenerationComing soon
Document ParsingLive

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.

01

Usage stays as logs

Execution traces accumulate in observability tools and stay there.

02

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.

03

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.

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.

Observe
Internalise
Execute again

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 gateway. Full visibility.
No setup tax.

You do not need the learning loop to switch on before Stimulir is useful. From your first AI use case, you get consolidation and transparency most teams do not have today.

01

One integration, every modality

Vision, audio, and image workflows behind a single gateway, instead of stitching providers together yourself.

02

See what every task costs

Cost, usage, and outcomes for each run in one place. Know your AI spend and why, in real terms.

03

Self-serve from minute one

Sign up, send a real task, see the result and the cost. No call, no waitlist, no credit card.

04

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

Live

Audio to text

Live

Text to image

Coming soon

Text to Audio

Live

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.

Today

Execution evidence

Every workflow creates traces, artifacts, approvals, corrections, failures, and outcomes. The signal is captured from your first run.

Today

Cost and usage visibility

One view of what your AI workflows cost and produce, so spend stops being a black box across your stack.

Today

Persistent inference

Repeated usage gets internalised into the inference path, so accepted outcomes and corrections sharpen the next run automatically.

Today

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

Limited traces and storage
Basic adaptive inference
Sandbox workflows
Community support
Start free
Most popular

£50

/ month + usage

Own keys or managed inference. Usage billed separately.

Adaptive routing
Adaptive memory
Tracing and evaluations
Workflows
Fusion ModelNew
Start free trial

£200

/ month platform fee

Enterprise infra in your cloud. + one-time setup fee.

Everything in Platform, plus:

Dedicated isolation in your cloud
Custom routing and capacity
SLA and priority support
Contact sales

AI Capability Engineering

Add-on

Forward-deployed team that continuously improves your AI. Sits on top of any plan.

Custom pricing

Contact sales
Workflow discovery and design
Continuous improvement loop
Prompt and model optimization
Quarterly roadmap and reporting
Trace reviews and evaluation gen
Priority support

BYOC and add-on pricing are scoped at sales.

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.

Stimulir

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