Traigent: the evidence layer for enterprise AI agents

Improve and governyour AI agents

Traigent scores AI agents per KPIs the business answers for, recommends and drives improvements, and keeps an audit‑ready record of it all.

Traigent in one minute · press play, sound on
Customer result · Truelogic
In a few hours our agent had 10% better accuracy at 70% lower cost. Traigent’s ledger proved it.”
— Engineering team, Truelogic
Trusted by
ThalesCloudzoneTruelogicBazakiForAIProfiseaYotpo
Why enterprises buy it

One record, three people who need it

CTO / Head of AI

One fleet view, and a ranked list of what needs attention and why.

Engineering leads

Before/after comparisons under the same conditions, with cost and latency kept separate.

Risk & compliance

A recorded evidence trail per agent. It is not a regulatory certification.

What is in the product

Four parts, one evidence trail

1. Fleet view

Status of every agent across agent, evaluation dataset and evaluator, ranked by what needs attention.

Fleet view: AI agents grouped by confirmed issues, cannot assess, and no issue identified
Product screen · demo data

2. Scorecard & comparison

Baseline vs candidate on the same dataset and evaluator; each requirement is answered with its basis.

Comparison of recommended configurations on accuracy, cost and latency
Product screen · demo data

3. Next step

Traigent's recommended experiment. Your coding agent picks it up; Traigent records the result.

4. Evidence record

Measurement history per agent, ready for review.

How it works

Traigent recommends. Your team runs. Traigent records.

  1. 1

    Traigent recommends the next step.

  2. 2

    Your coding agent picks it up and runs it in your environment.

  3. 3

    Traigent records what was measured.

  4. 4

    The team reviews the result.

Data boundary

What stays with you, and what Traigent sees

Stays in your environment

Example inputs, prompts and model responses; model calls use your own API keys. Prompts stay local, except the prompt variants you choose to tune, which are sent as configuration values.

Sent to Traigent

Configuration values (including prompt variants being tuned), scores and run metadata.

Applies to the SDK optimization flow. Hosted datasets are a separate opt-in that stores dataset text in Traigent. The SDK can also run fully offline.

Start

Start where you are

Three steps, each worth more than the last. Go as far as is useful to you.

Step 1 · 2 minutes

Scorecard

You give: eight yes/partly/no answers. Nothing is sent.

You get: a score for each of four areas and where to look first.

Step 2 · Free

Offline audit

You give: your own agent, run by your coding assistant. No Traigent account.

You get: a local baseline for quality, cost and latency, and a review of whether you can compare options fairly.

Step 3 · Free trial

Optimize

You give: a Traigent account (new accounts get 10 days of portal access) or a call.

You get: recommended improvements, same-conditions comparisons, and a recorded trail of each change.

Talk to us

Paid POC

1–3 of your agents, over 2 months, credited to the year-1 license. Talk to us for pricing. Baselines, an evaluator check, recommended next steps with recorded results, and an executive readout.

Is your AI agent safe to update, and are you overpaying for it?

Answer eight questions in two minutes. The scorecard keeps your answers in your browser.