Algorama

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GOVERNED DATA INTELLIGENCE

AI built to draw intelligence from what your data already holds.

Most organizations hold years of research, campaigns, transactions, and clinical results with insights hidden in the data. Algorama builds the architecture to turn it into decisions.

15 Min Introduction Call

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ENTERPRISE-GRADE BY DEFAULT

SOC2 ALIGNED

VPC DEPLOYED

AES-256 ENCRYPTION

RBAC ACCESS CONTROLS

GxP-ALIGNED

FULL IP OWNERSHIP

SOC2 ALIGNED

FULL IP OWNERSHIP

VPC DEPLOYED

AES-256 ENCRYPTION

RBAC ACCESS CONTROLS

GxP-ALIGNED

SOC2 ALIGNED

AES-256 ENCRYPTION

GxP-ALIGNED

VPC DEPLOYED

RBAC ACCESS CONTROLS

FULL IP OWNERSHIP

WHO IT'S FOR

For organizations ready to put years of proprietary data to work.

Biotech, pharmaceutical, and research organizations with years of experimental or clinical datasets. Also applies to any organization with a substantial backlog of campaign, operational, or transaction data ready to inform decisions.

A FIT IF

You hold years of experimental, clinical, campaign, or operational data with intelligence value still untapped

You need AI that can query that data and surface answers your team can act on

You want the architecture built inside your existing environment, reaching your data where it lives

Ready to start? Book a 15 Min Introduction Call.

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WHAT WE BUILD

The right approach is determined by your data structure.

Algorama assesses your existing data structure and builds the AI layer that fits it. The right approach depends on your data type, volume, and what your organization needs to extract from it. Three technical paths:

RAG Pipeline

The model gets efficient access to your data as context, without needing it loaded all at once. It scales as your data grows. The right architecture for large unstructured or semi-structured datasets.

RAG Pipeline

Fine-Tuning

We train an open-source model on your specific data. The result is a model with deep domain knowledge, built from your data. That model is a proprietary asset your organization owns outright: years of domain data converted into owned IP.

Fine-Tuning

Tool and Agent Access

For structured relational databases, an AI agent operates directly on your data autonomously. It monitors, queries, analyzes, and responds without waiting to be asked. We configure it to flag anomalies, trigger workflows, or identify decision points the moment data shifts.

Tool and Agent Access

Discovery determines which path fits. The architecture is scoped before the build begins.

HOW IT WORKS

What the data holds determines how we build.

Discover

Algorama assesses your current data structure, volume, and format. We clarify what questions you need answered, what decisions you need supported, and what the data actually contains. Scope and approach are agreed before any build begins, with a full cost projection.

Build

We build and integrate the AI layer inside your environment, wiring the architecture to reach your data directly. Progress is visible throughout, and the system is tested against real queries before it goes live.

Support

Algorama provides ongoing support after deployment. We keep the system running and the answers accurate as your data grows, new questions emerge, or your data structure changes.

FAQ

Questions teams bring to the discovery call.

What data formats do you work with?

Do you need to move or copy our data?

What's the difference between RAG, fine-tuning, and tool access?

How long does the build take?

What does ongoing support cover?

The data is the foundation. The intelligence is the asset.

Every Governed Data Intelligence engagement starts with AI Discovery. We assess your data structure, identify the right architecture, and scope the full build before work begins.

15 Min Introduction Call

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