How we deliver
A data platform built for AI
Most AI projects stall on data access. Getting your operational data into a form AI can use, securely, in real-time, at scale, is the hard part. We built a platform specifically for this.
Sub-second responses
Built for real-time AI interactions. LLMs need fast data access for conversational experiences, and we deliver sub-second query times even on large datasets.
Semantic layer
Data structured so LLMs can reason about it without complex prompts or raw SQL. Calculations, joins, and business logic handled automatically.
Fine-grained security
Row and column level access control. Each AI agent sees only what it should. Security policies enforced automatically on every query.
Connect to anything
Databases, ERPs, legacy systems, APIs, SaaS apps. We connect to your data where it lives, including OpenEdge environments.
Always current
Data syncs automatically. Your AI agents always work with up-to-date information, no stale caches, no manual refreshes.
Fully managed
Hosted on AWS, managed by us. You focus on building AI features, and we handle the infrastructure, scaling, and operations.
Not a product you buy separately
When you work with us, you get the platform as part of the engagement. It's how we deliver fast, not a separate product you need to license, configure, and maintain.
Companies have been running their operations on our platforms since 2003. When we added AI capabilities four years ago, we didn't start from scratch, we built on infrastructure that was already proven at scale.
Built for developers too
If you're a software vendor wanting to embed AI features in your product, we offer APIs and SDKs. Web components, desktop components, conversational interfaces, all ready to drop into your app.
But we recommend starting with a conversation about what you're trying to achieve. The tech is the easy part, getting the data integration and AI design right is where we add most value.
Talk to us# Natural language queries
driver = ConversationalDataDriver(os.environ['TENANT'])
question="Give me the top 10 stores by revenue this year"
answer = await driver.get_answer(question)
print(f"The answer was: {answer.answer}")
print(f"From subject: {answer.subject}")
See it in action
The best way to understand what we do is to see it working with real data. Book a call and we'll show you.
Book a demo