AI and Data for enterprises at scale

You’ve been solving the wrong AI problem.

Build AI that runs across your enterprise. Business value in weeks, not months.

While you were evaluating AI tools, the real questions went unanswered.

  • You’ve spent more time evaluating AI tools than understanding the work they’re supposed to change.
  • One individual’s productivity doesn’t change how your operation runs. Workflows span teams, and your teams are lost without a map.
  • Your AI vendor owns the platform, the model, and the pricing lever. You own a monthly invoice.
  • Today it’s one team’s pilot. Tomorrow it’s 200 agents across 10 departments, and you need a plan to manage them.
  • You need a path from basic AI assistance to workflows that run themselves. Your vendor’s roadmap is about their next feature, not your next stage.

Enterprise AI, in production. Here’s what changes.

SPRINT VELOCITY

2x

sprint velocity, sustained
Sports technology platform
Sports Technology

ERROR REDUCTION

98.5%

classification accuracy
Public environmental services company
Environmental Services

intelligent document processing

>70%

Reduced Processing Time
Leading renewable energy provider
Energy

SELF SERVICE

24/7

support availability
Connectivity Solutions
Manufacturing

FRAMEWORK + PLATFORM

Enterprise AI is a system with five moving parts.

We built a system that delivers all of them — and it runs in your cloud, under your control.

Strategy to know where AI should go before it gets deployed. A platform in your own cloud that every employee can access. A practice that builds the use cases and drives adoption with you. Governance to manage hundreds of agents and workflows across your organization. And a maturity path that takes your organization from AI assistance to AI automation.

The AI Accelerator Platform is how these disciplines become operational. Not just to make individuals more productive, but to give your entire organization the infrastructure to deploy, govern, and scale AI as one connected system.

Individual Productivity

Make every person faster. AI chat, custom personas, skills, data products, and Office plug-ins tailored to how your teams actually work.

  • Multi-model
  • Personas
  • Skills
  • Data products
  • Office plug-ins
  • Code execution

Enterprise Performance

Move beyond individual use cases to enterprise-wide impact. Process mapping, accelerated development, self-service analytics, and centralized governance across every department.

  • Compass
  • Scout
  • Surveyor
  • Control Tower
  • Orchestration
  • Operating Modes

Security & Governance

The Platform deploys into your environment, not over it.

01

Your environment, your data

Chat history, documents, and vector storage stay in storage you control. Every interaction is logged with a full audit trail you can query directly. Data leaves your boundary only during an active prompt — and only to the model provider

02

Zero data retention

Enterprise model APIs are contractually guaranteed not to train on your data. Not a vendor policy. Not a configuration setting. A contractual obligation with the model provider itself.

03

No LLM vendor lock-in

Model-agnostic architecture supports multiple enterprise-grade models in parallel. Swap models into production in seconds — route simple tasks to faster, cheaper models and complex reasoning to flagships.

04

Use and admin scoping

Every interaction is user-scoped; sharing is an explicit choice. Admin oversight is configurable — including disabling raw chat history access — to match your privacy requirements.

Enterprise AI Real Results

Sportsmo

Gamified Giving Delivers a First-to-Market College Fundraising Platform     

Sportsmo engaged Allata to build a cross-platform mobile platform that turns college sports fandom into recurring microdonations to athletic departments. Facing budget shortfalls driven by NIL changes and the House Settlement ($21.5M annual reallocation across programs), Sportsmo launched a gamified wallet and pledge experience with a $1 minimum, real-time game triggers, group features and social boosts. Delivered from discovery to first release in seven months, the project used an AI-accelerated development approach to compress timelines and reach a public launch in July 2025.
Large Healthcare System

60% Performance Gains with Azure Synapse and Snowflake: Enabling Analytics Modernization.  

Discover how Allata delivered 60% performance gains across 200 data extracts, enabling sustainable analytics modernization. Learn how consolidating Alteryx pipelines into Azure Synapse streamlined operations and accelerated insights.
A Leading National Environmental Services Provider

AI-Powered Waste Profiling Cuts Rework by Half and Accelerates Approvals for a Leading National Environmental Services Provider           

A leading national environmental services provider processed thousands of hazardous waste profiles monthly through a manual workflow that averaged 3.7 days per approval — and 5.5 days when rework was required. With 23% of profiles kicked back for corrections and accuracy hovering at 75–80%, delays frustrated customers, burdened agents, and increased regulatory risk. Allata embedded an AI engineering team alongside the client's domain experts to build an intelligent document processing and validation platform on AWS. The solution targets 98.5%+ extraction accuracy and a 50% reduction in downstream corrections from day one of production.

Client Voices

What it sounded like from the other side of the table.

From my assessment, Allata is the gold standard in the industry, and you couldn’t ask for a better partner who’s with you through the whole journey.

Immediately I know he (Matt Rosen) was not about the sale, he was about my win. Every leader knows that you are only as effective as the weakest link on your team and so you really need dragon slayers and that’s what those guys are.

The AI Accelerator Framework delivered cost-effective accessibility to advanced AI capabilities specifically tailored for healthcare productivity and compliance requirements.

Now to Next

The first deployment changes what’s possible. Ninety days in, the intelligence you’ve built has shifted where AI fits next in your operation.

At 60–90 days, we answer one question together: given what we now know about your operation, where does the next highest-ROI deployment sit? The answer is specific. The decision is yours.

  • Your environment is already known — no new discovery
  • The governance model carries forward — no new security review
  • Ninety days of deployment changes where AI fits next

Put AI behind the work, not in front of it.