AI DISCOVERY · OFFER 01

A clear picture of what AI should do for your environment.

Before any build begins. Algorama engineers work inside your stack, map where AI delivers measurable impact, and hand you a production-grade blueprint alongside a working demo validated against your real data. The blueprint is yours whether or not we build it.

ENTERPRISE-GRADE BY DEFAULT

SOC2 ALIGNED

VPC DEPLOYED

AES-256 ENCRYPTION

RBAC ACCESS CONTROLS

GxP-ALIGNED

FULL IP TRANSFER

SOC2 ALIGNED

FULL IP TRANSFER

VPC DEPLOYED

AES-256 ENCRYPTION

RBAC ACCESS CONTROLS

GxP-ALIGNED

SOC2 ALIGNED

AES-256 ENCRYPTION

GxP-ALIGNED

VPC DEPLOYED

RBAC ACCESS CONTROLS

FULL IP TRANSFER

WHAT THIS IS

The decision-ready picture of your AI build. Produced inside your environment, not from a questionnaire.

AI Discovery is a fixed-scope engagement at $3,500. Algorama assesses the infrastructure you already have, tests the assumptions against your real data, and documents what to build, in what order, and why. You leave with a blueprint your engineering team can act on and a working demo that proves the approach holds.

Inside your environment

Your repos, your pipelines, your data. The assessment happens where the system would actually run.

Inside your environment

Your repos, your pipelines, your data. The assessment happens where the system would actually run.

Validated against real data

The demo runs against your data and your edge cases, not a curated sample set.

Validated against real data

The demo runs against your data and your edge cases, not a curated sample set.

Yours before any build

The blueprint belongs to you before a line of code is written. Build it with Algorama or hand it to your own team.

Yours before any build

The blueprint belongs to you before a line of code is written. Build it with Algorama or hand it to your own team.

HOW WE DELIVER

From your existing stack to a documented build sequence.

From your existing stack to a documented build sequence.

We start with what you already have running: the pipelines, the tooling, the data, and the builds that stalled. The output is a sequence your engineering team can execute against, with the failure modes named before anyone starts.

01

Scope

Architecture, delivery plan, IP ownership structure, and success metrics documented in the SOW. Readable by your engineering team, your board, and any acquirer.

02

Advisory

Use cases are prioritised against impact, engineering effort, and risk, so the sequence reflects what should be built first rather than what is easiest to demo.

03

Demo

A working AI demo runs against your real data, inside your environment, so the approach is tested before it is committed to.

04

Brief

A decision-ready brief for your engineering team, your board, and anyone scoping budget. Written to be read without us in the room.

WHAT'S INCLUDED

Built into every AI Discovery engagement.

01

Production-Grade Blueprint

Full assessment of the current build, documented gap analysis, architecture options, and a phased roadmap in fix-first sequence.

01

Production-Grade Blueprint

Full assessment of the current build, documented gap analysis, architecture options, and a phased roadmap in fix-first sequence.

02

AI opportunities map

Where AI delivers measurable return in your workflows, and where it does not. Scored and ranked, not listed.

02

AI opportunities map

Where AI delivers measurable return in your workflows, and where it does not. Scored and ranked, not listed.

03

Working demo on your real data

Built and run inside your environment against production conditions, including edge cases and bad inputs.

03

Working demo on your real data

Built and run inside your environment against production conditions, including edge cases and bad inputs.

04

Decision-ready brief

Written for the engineering team that will own the build, with the failure modes to design against named up front.

04

Decision-ready brief

Written for the engineering team that will own the build, with the failure modes to design against named up front.

WHO IT'S FOR

Built for teams deciding what to build, and teams whose build already stalled.

Built for teams deciding what to build, and teams whose build already stalled.

AI Discovery is for technical leaders who need an engineering answer rather than a vendor pitch. That includes teams evaluating where AI fits for the first time, and teams with a system that works in a demo and fails in production. Both start in the same place: an honest assessment of the environment the system has to run in.

A FIT IF

Understand the build

·

You are preparing for a raise or acquisition and need AI that registers as owned infrastructure, not a cost line.

·

A prototype works in demo conditions but is stuck in staging and not moving into production.

·

Your engineering team inherited an AI build they cannot reliably own, debug, or extend.

NOT THE FIT YET

Understand the build

·

You have a complex operational workflow that needs AI to execute end to end, not a model to build on.

PROOF

The blueprint is the part that makes the build survivable.

The blueprint is the part that makes the build survivable.

CASE STUDY · PROPTECH SAAS

A 30% failure rate, diagnosed before it was rebuilt. ⚠️ CONFIRM WITH DAVID

A hardcoded single-model integration ran 20 predefined questions with no persistent memory and no security filtering. The assessment named the architecture as the failure point, not the model.

Functionality, time-to-market, and valuation targets surpassed

Codebase, agents, and data layer owned outright, with no managed AI subscriptions

CASE STUDY · PROPTECH SAAS

A 30% failure rate, diagnosed before it was rebuilt. ⚠️ CONFIRM WITH DAVID

A hardcoded single-model integration ran 20 predefined questions with no persistent memory and no security filtering. The assessment named the architecture as the failure point, not the model.

Functionality, time-to-market, and valuation targets surpassed

Codebase, agents, and data layer owned outright, with no managed AI subscriptions

FAQ

What technical buyers ask before booking.

What technical buyers ask before booking.

What does "full IP transfer" mean in practice?

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How is this different from buying an AI platform?

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Can Algorama work alongside third-party AI platforms we already use?

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How long does a build take?

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Where does our data live during training?

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What happens after the build is delivered?

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Bring the problem. We'll map the build.

A 30-minute discovery call with the engineers who would run your engagement. You leave with a recommended engagement, a realistic timeline, and an honest answer on whether Algorama is the right partner.

Production-grade AI inside your environment. Yours on completion.

© 2026 Algorama. Production-grade AI, owned by you.

Production-grade AI, owned by you.

© 2026 ALGORAMA · OWNED BY YOU