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Enterprises are sitting on more data and having more conversations than ever — but neither turns into decisions fast enough. Your data is trapped in 15+ disconnected tools. Your conversations happen at scale but leave no trace. By the time insight reaches the decision-maker, the moment has passed. It’s a decision latency problem. And it’s solvable by AI that’s trained on your organization — not generic, off-the-shelf models.

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One thesis. Two products.

Witting AI builds AI agents that are tailored to your organization, work across your existing systems, and keep your data on your infrastructure.

Vocalis

Conversational intelligence. AI agents that join Google Meet and phone calls, conduct real conversations, and deliver structured insights — no code, no developers.

DataVox

Data intelligence. Ask questions across every system in your organization in plain English and get answers in seconds — no SQL, no analyst queue.

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Why Witting AI

Business users — not developers, not analysts — use both products directly. A VP of Sales asks a data question in plain English. An HR lead creates an AI interviewer by describing what it should do. No technical skills, no IT tickets, no waiting.

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The problem we solve

Conversations

Critical conversations aren’t happening — candidates go unscreened, leads go cold, follow-ups get missed. When they do happen, the intelligence stays locked in someone’s head or a recording no one reviews.

Data

70%+ of enterprise data goes unused. Not because the tools don’t exist, but because the answers are trapped behind analyst queues, disconnected dashboards, and manual spreadsheet work.
These aren’t separate problems. They’re both about the gap between information and decisions. Witting AI closes that gap — conversations through Vocalis, data through DataVox.

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Get started

Explore Vocalis

See how AI agents handle conversations at scale.

Explore DataVox

See how business users get answers from their data directly.
Both products are available for enterprise engagements. Contact Witting AI to discuss your use case.