DELEGATIONWITHOUT LOSSOF CONTROL.
Axiosera lets enterprises safely delegate commercial decisions to AI. PriceStrike, our first product, applies that infrastructure to pricing: generating recommendations, enforcing approved policy, executing accepted decisions and measuring the commercial outcome.
Starting with pricing gives Axiosera a high-frequency, measurable decision stream through which customers can progress safely from human review to bounded autonomy.
AI can make commercial decisions faster than organisations can safely govern them.
Pricing signals update continuously.
Models can increasingly recommend commercial actions in real time.
But enterprises cannot delegate consequential pricing decisions unless they can answer:
What was the system authorised to do?
Which policy governed the decision?
Why was the action permitted?
Who approved the policy?
Can the action be stopped or reversed?
What commercial outcome followed?
Autonomy without governance is a demo. Governance is the product.
PriceStrike turns pricing intelligence into governed commercial action.
PriceStrike is the first implementation of Axiosera's Commercial Decision Infrastructure. It provides a controlled journey from pricing analysis to commercial execution:
Every consequential pricing decision is:
Built first for high-volume retail and e-commerce pricing.
The initial design-partner profile is a business where pricing volume has already outgrown human review capacity.
Commercial scale large enough for pricing decisions to matter materially.
Enough decision volume for automation and governance to become valuable.
A clear business owner for pricing decisions and policy.
An identifiable commercial problem with measurable economics.
B2C retail and e-commerce provide the fastest proof cycle. B2B distribution follows as a higher-value, governance-intensive second wave.
Lift. Autonomy. Zero.
Measured margin or revenue improvement versus an agreed holdout or comparator.
The share of eligible decisions executed without individual human approval.
Out-of-policy executions.
Lift proves economics. Autonomy proves delegation. Zero proves control. All three together prove the Commercial Decision Infrastructure thesis.
Models propose. Deterministic policy governs.
Propose
Pricing models and AI generate a typed commercial Decision Proposal.
Govern
The Axiosera Policy Engine evaluates the proposal against a formally approved, versioned policy. The decision is deterministically classified:
Execute
Approved actions reach the commerce system through controlled execution.
Record
Every material event enters the Decision Ledger.
Measure
The commercial result is compared with the predicted outcome and relevant control.
policy: uk-grocery-base-v14status: activeapproved: 2026-06-12bounds:price_delta_max: 4% per changemargin_floor: 22%change_frequency: 1 per day per SKUapprovals:within_bounds: autonomous (L3)above_bounds: pricing_managerautonomy_level: L3audit: full deterministic replay
$ axiosera policy simulate v15 --window 90dreplaying 41,203 ledger decisions ...under v15:3,180 decisions change dispositionest. margin effect +0.4ptnew human routings +212/weekbound violations 0submit for approval? [y/N]
Customers never have to trust before there is evidence.
Every proposal routes to a human.
Purpose: establish recommendation quality.
A human approves the recommendation. PriceStrike performs the execution.
Purpose: establish execution reliability.
PriceStrike executes automatically when the approved policy allows it.
Purpose: establish bounded machine delegation.
Progression itself is governed and recorded. As evidence improves, customers can voluntarily increase autonomy.
We monetise governed decision flow, not seats.
PriceStrike has two primary transaction events. You decide. We charge for transactions.
Recommendation Transaction
A PriceStrike pricing recommendation is generated. €0.005 per recommendation — inexpensive to explore.
Commercial Decision Transaction
A recommendation is accepted and applied by the customer or its system. The fee combines a fixed charge based on the value of the applied decision, plus 0.025% of that value.
Recommendation → review → acceptance → value-based charge.
PriceStrike generates a pricing recommendation.
You are free to use, compare or ignore it.
You implement the recommended price.
You pay the applicable value-based fee.
Every pricing recommendation generated by PriceStrike.
Charged only when a recommendation is accepted and applied.
CDT value tiers — the price of an applied decision scales with its commercial value.
| Value of applied decision | Fixed fee | Variable fee | Total CDT fee |
|---|---|---|---|
| €0 – €99.99 | €0.09 | 0.025% of value | €0.09 + 0.025% of applied value |
| €100 – €999.99 | €0.19 | 0.025% of value | €0.19 + 0.025% of applied value |
| €1,000 and above | €0.29 | 0.025% of value | €0.29 + 0.025% of applied value |
Commercial principle: recommendation transactions make PriceStrike inexpensive to explore; Commercial Decision Transactions align revenue with decisions that are actually accepted and applied.
No seat pricing. No requirement to monetise unused software access. Revenue increases when customers actually use governed commercial decisions.
Estimate your monthly bill — type your volume, see your number.
$ axiosera bill --recommendations 100,000 --accept 60% --avg-value €45recommendation transactions · 100,000 × €0.005€500.00applied decisions (CDTs)60,000fee per CDT · €0.09 + 0.025% × €45.00€0.1012CDT fees€6,075.00Estimated monthly total€6,575≈ €0.1096 per applied decision · no subscriptions, no minimums
You pay more only when the applied decision has higher commercial importance.
A very low recommendation cost makes exploration and testing easier.
Clear rules, observable events and auditable billing logic.
Designed for low-ticket, high-volume as well as high-value commercial decisions.
Explore with confidence. Decide with impact. Pay for results.
PriceStrike provides the data, models and governed decision infrastructure. You retain commercial authority.
See your own number.
A 1% improvement in realised price moves operating profit by 8–12% for a typical cost structure. No other lever compares. Run yours.
$ axiosera simulate --revenue £250M --margin 5%operating profit (est.)£12.5M+1% realised price →+£1.0M – £1.5M / yeargoverned pricing decisions (est.)~1,667 / daybasis: 1% price → 8–12% operating profit · typical cost structure
PriceStrike proves the wedge. Axiosera owns the control layer.
PriceStrike uses the same core infrastructure intended to support additional commercial decision families:
The long-term platform proof is that a second commercial decision family can be added without rebuilding those governance primitives.
From platform prototype to commercial proof.
Platform prototype live
Existing pricing, governance and platform capability already exists.
Governed V1 programme
The current delivery phase is concentrating the platform around Decision → Policy → Ledger → Execution → Outcome.
Design-partner programme
Three 90-day pilots are the immediate commercial objective.
Seed round
Axiosera is preparing a £2.5M seed to fund the transition from technology to repeatable commercial evidence.
The round is primarily funding proof, customers, security, decision science and company capability — not a greenfield software build.
Steve Burke
Years running governance, control frameworks and delivery assurance for large-scale public-sector engineering programmes. Knowing what it takes for a large organisation to trust a system with consequential decisions — because building that trust has been the job.
AI capability is becoming cheaper. Commercial delegation becomes the scarce layer.
Recommendation quality alone is unlikely to remain a durable moat. Pricing applications, enterprise platforms and frontier-model providers will increasingly generate credible commercial actions.
The unresolved problem is the institutional handover of authority.
Axiosera is designed to own that moment: what may the machine decide, under which policy, with what level of autonomy, how is it executed, and what evidence proves what happened?
The next valuation inflection is evidence, not more features.
If customers progress from recommendation to governed autonomous execution and achieve measurable commercial value, the infrastructure thesis has behavioural evidence.
Prove governed autonomy on real commercial decisions.
Axiosera is selecting retail and e-commerce businesses for 90-day PriceStrike design-partner pilots. Each pilot is structured around:
£2.5M seed to turn governed pricing into proven Commercial Decision Infrastructure.
The seed funds the transition from an existing platform to: