For vertical software platforms

Ship verified AI in your platform.Don't spend two years building the control layer.

Taiso is the verification and evidence layer your platform embeds — every AI action your customers take is checked against their own documents and policy, escalated when it can't be confirmed, and recorded in a ledger their auditors accept. Your product, your brand, our controls.

Talk to us about embedding Taiso →See what your customers get
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Start with Taiso Verify — one verified call, one base-URL change. Scale to the Taiso Agent Control Platform — your whole platform's AI, verified.

The build you keep re-scoping

Your roadmap says add AI.
Your customers say prove it.

Extraction was the easy part. Enforcement, evidence, escalation and an audit trail are the part that turns into a multi-year detour.
Your regulated customers won't take a black box from you — and the liability for what it outputs lands on your contract, not the model vendor's.
Every quarter you spend building verification is a quarter you are not spending on the product your customers actually chose you for.
A competitor will ship a checkbox that says AI. You need the one that survives your customer's audit.

Verification is infrastructure, not differentiation. The platforms that win the next cycle will embed it, the way they embedded payments.

What the build actually costs

Verification is infrastructure.
Your product is the differentiation.

1
integration, no data-model change
100%
of actions verified before they execute
0
quarters spent building an evidence layer

The engineering you do not spend on evidence storage, escalation and red-teaming is engineering your roadmap keeps.

Before the first call

What your architects ask
in the first technical call.

YOUR CUSTOMERS' DATA
It stays inside their boundary, or yours
Deploy in-boundary for regulated customers, or hosted under a DPA with a no-training clause and retention you set. Their audit asks what checked the output; the answer stops being the model that wrote it.
YOUR CERTIFICATIONS
One review, not one per customer
Your customers have already accepted your compliance posture, so embedding the gate is faster than each of them onboarding a new vendor. We are still a subprocessor in your chain, and you get the disclosure pack and security documentation to say so.
YOUR ROADMAP
One integration, not a build
No data-model change, no new interface, no escalation queue to design. You send the proposed action and receive a verdict with evidence attached.

On certification: SOC 2 Type I is on the clock, and Type II is what most financial buyers gate on — we are not going to pretend otherwise. Closed work is still confidential data, so the pilot runs under NDA and a DPA, in your environment or ours, and goes through the same security review your clients require of any new processor. We will fill in the questionnaire.

See it run — one customer's day on your platform

Watch every action get checked.
Inside your product.

A two-and-a-half-minute walkthrough of one hundred AI actions taken by one of your customers — narrated by the product lead who owns the feature.

STEP 1 OF 6Your AI feature today
NarratorOne hundred AI actions run through your platform today.
One customer · 100 AI actions10 spot-checked · 90 unverified
Taiso verification gate — embedded in your platform, every action checked against your customer's documents and policy
spot-checked by someoneaccepted unverifiedchecked against sourcethe unconfirmed few
90actions your customers accepted with nothing checking them
10actions somebody happened to spot-check

Every one of those is your support ticket, and your contract.

0of 100 checked against source and policy
confirmed0
the machine couldn't confirm0

No change to your customer's workflow.

Action 37 of 100Auto-generated adjustment — amount applied
Your AI proposed$12,500
The customer's own record says“Approved adjustment authority for this account is $2,500.”
VerdictDISPUTED · held for a human
Confidently wrong, inside your product. The API returns a verdict instead of the action — and your support queue never hears about it.
Your review queue0
Your customer's team sees these ten — in your interface, in your workflow. Taiso decides what escalates; you decide how it looks.
Ledger your customers export0 / 100
confirmed0
approved in your product0
accepted unverified0

The record their auditor accepts, under your brand.

Build it yourselfTwo years of verification, evidence and escalation — engineers not spent on your product, and a liability you own alone.
Embed the control layer0 actions unverified · 10 escalated in your UI · 100 on a ledger your customers can export. Shipped this quarter.
Talk to us about embedding Taiso →
←/→ step through · space plays · V mutes

Illustration of the mechanism on a hundred AI actions on your platform. Volumes and counts are illustrative, not measured results — the exception rate most of all. How many items actually need a person is the number the parallel run measures on your own work, and it is the number that decides whether the hours hold.

What the API enforces

Five checks
on every action your platform takes.

01
Intent
Does the action match what the user actually asked for?
refund issued against a request to explain a charge → mismatch
02
Evidence
Is it grounded in the customer's records, or invented?
adjustment authority located in the account record → supported
03
Policy
Is it inside your customer's rules and approvals?
amount above the account's approval threshold → blocked
04
Risk
How costly is failure, and does a person need to approve?
irreversible write on a production record → escalated to your queue
05
Audit
Is the decision recorded, replayable and exportable?
action, evidence, verdict, approver, timestamp → your customer's ledger

Five checks, one verdict — ALLOW — returned to your platform before the action executes.

What you get

A control layer,
not another roadmap item.

ONE INTEGRATION
An API, not a rebuild
Your platform sends the proposed action and receives a verdict with evidence. No change to your data model, your interface or your customer's workflow.
YOUR BRAND
Invisible by design
Escalations land in your queue, in your product. The ledger exports under your name. Your customers buy verification from you.
THEIR CERTIFICATIONS
The envelope already exists
Your compliance posture covers the integration, which is why a platform can ship this to regulated customers faster than any of them could adopt it directly.

The commercial conversation is an OEM licence, and it is deliberately a legal one — the engine is proprietary. Start it early; it is the long pole, not the integration.

Where you are now

Why you keep
this is your build.

THE ROADMAP KEEPS GROWING
Verification was one line in the spec
It became evidence storage, an escalation queue, versioned policies, and a red-team loop nobody scoped.
REGULATED CUSTOMERS STALLED
They liked the feature and can't deploy it
Their audit asks what checked the output. Your answer is the model that produced it.
YOU'RE PRICING THE RISK
Liability you can't quantify
Shipping unverified AI into a customer's system of record puts your contract behind an error rate nobody has measured.

If two of these are true, the conversation below is a licence discussion, not a pilot — and it is worth starting before the build is committed.

The conversation

One integration.
Your whole installed base.

Bring us one AI feature you are shipping or scoping. We will map it to the gate, show you what verification returns on your own customers' data under NDA, and put the OEM licence terms on the table early — because the legal path is the long pole, not the integration.

Talk to us about embedding Taiso →Read the docs