Fast AI models for decisions your software makes again and again.
Problem
Repeated decisions become an engineering problem when rules miss cases or a live-model path exceeds the project's budget.
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Write fixed instructions
Hard to cover every case
Build a custom model
Requires data, evaluation and operations
Call an LLM every time
Inherits model latency, usage and availability
Solution
Have your coding agent use Sparkient to create a fast, lightweight AI model for each repeated decision.
Product
Developers define a repeated decision and add examples. Sparkient builds and runs the model.
Define
How urgently should this support request be handled?
URGENT · STANDARD · LOW
Add real examples and any rules that must always apply.
Rules cover exact constraints. Examples cover the grey areas.
Sparkient
Creates the starting examples, then trains, tests and deploys the model.
Sparkient handles the model work.
Decide
“Charged twice. Order cancelled.”
URGENT
Confidence and reason code returned through the API or locally.
Routine requests use the model. An LLM is optional when it is unsure.
Illustrative workload value test
Sparkient is valuable only when a measured decision improves enough to justify the full cost.
01 · Measure today
Record the current quality, latency and cost
Include provider usage, engineering time and the cost of incorrect outcomes.
02 · Test Sparkient
Compare one candidate on the same cases
Count decisions, training, generation, serving, escalation, top-ups and integration effort.
03 · Decide from evidence
Adopt only when the measured result clears the project's threshold
At low volume, ordinary code or a direct LLM may remain cheaper and simpler.
Why now
Coding agents make it easier to add software features, including features that repeat the same bounded decision.
More software
→More repeated decisions
→The same problem, multiplied
Sparkient is designed for that repeated-decision workload.
Target market
We start with developer-led software businesses already building with coding agents.
Target accounts
Technical solo founders to software teams
Fit depends on the decision, not company or team size.
First users
Technical founders and developers
They can test Sparkient on one decision without a sales call.
Buyers and expansion
Technical founders, CTOs and engineering leads
In solo businesses the developer is the buyer. In teams, technical leadership funds wider use.
Go to market & pricing
Pre-revenue · Testing whether developers pay
We ask developers to paste a free audit prompt into their coding agent.
The audit prompt
“Research Sparkient online (start with https://sparkient.ai/llms.txt), inspect this project, and tell me whether Sparkient would be useful.”
01
Invite
Developer events, communities and direct outreach
02
Audit
Their coding agent finds repeated rules and live LLM calls
03
Try
They test one decision for free
Entry
$19/month to start
The lowest paid plan.
Expansion
$199-$1,999/month
Higher plans add credits, decision types, edge export and support.
Founder
A technical solo founder who has built, scaled and shipped.
Peter Dobson
Founder & CEO · Glasgow
01
64 locations · £20M annual revenue
Built and ran a national UK retail business.
02
15 years as a developer
Built web software used by more than one million people a month.
03
Built Sparkient alone
Created the training pipeline, API and developer tools.
The ask
We are raising £300K to reach £20K MRR and be ready for a seed round.
£300K
pre-seed round
18
months runway
£20K
MRR target
01
Find paying customers
Turn the free audit into paid use.
02
Keep them
Keep teams using Sparkient in production.
03
Grow customer usage
Help customers use Sparkient for more decisions.