AI Stuck on the Sidelines

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Pilots that never reach production
Every team has a demo working in a notebook. Hardly any of it makes it into the actual workflow your staff use every day.
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Reliant on a tiny ML team
Anything beyond a prompt needs a data scientist. The product team has ideas, but the bottleneck is one person who's already overloaded.
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Models without context
Generic LLMs don't know your customers, your projects, or your policies. The answers sound confident and miss the point entirely.

AI grounded in your real data

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Build assistants without code
Compose chatbots, internal copilots, and customer-facing agents in a visual builder. Wire them to your data layer in clicks, not sprints.
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Workflows triggered by real events
Subscribe AI workflows to any EventBridge stream. A new ticket, a payment failure, a deal closing - the right model runs at the right moment.
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Staff companions, grounded
Every answer is grounded in your unified data layer, with full provenance. Sales reps, support agents, and ops staff get trustworthy AI on tap.
"

We shipped four internal AI tools in the time it used to take to ship one. The product team owns them end to end, and every answer is backed by data we actually trust.

Reza Mahdavi
Director of Product ยท Halberg Group

Ready to Unify
Your Business Data?

Stop reconciling. Start deciding. Most teams are live within weeks.