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deepEntra AI

AI that acts — not just answers.

One intelligence layer across every product.

Most software bolts a chatbot on the side. deepEntra builds intelligence into the core — a copilot in every module, autonomous agents that nurture, flag and follow up on their own, and grounded research that turns your data into action. Same AI layer, whichever platform you run.

Read→Reason→Draft→Act
deepEntra · AI Copilot
deepEntra AI copilot

Just ask. It does the rest.

Every screen in deepEntra has an agent one tap away. Ask in plain language — "summarize this account", "create a follow-up task", "draft a note from today's call" — and it takes the action for you. Every write asks for confirmation first, and it always respects your role and tenant access.

Plain-languageConfirmation gatesRBAC-awareOn every screen
Look for the spark in the bottom-right of every page — the agent is always within reach.
Deepentra Agent — the in-app AI assistant panel
Autonomous agents

Four agents that do the work for you.

Not suggestions you have to action — agents that run in the background, take the next step, and only surface when they need you. One flagship agent anchors each platform.

A lead-nurturing bot that runs the whole play.

Point Lead Autopilot at a lead and it takes over — it researches the company, writes a hyper-personalized opener, sends it, and follows up on its own with a fresh researched angle each time, up to three touches. It escalates real replies to you and stops at a cost cap you set. A full SDR loop, running itself.

ResearchesWrites & sendsAuto follow-upCost-capped
Lead Autopilot — an autonomous nurturing run: a hyper-personalized email drafted by the bot plus its follow-up timeline
Across every module

Intelligence, everywhere you work.

A copilot in every module.

Ask in plain language — "which deals slipped this week?", "who hasn't given since last year?" — and get an answer grounded in your own data, with the records to back it up. No query builder, no export to a spreadsheet.

Plain-languageGroundedCitedEvery module
deepEntra · AI Copilot
AI copilot

Every call — transcribed, scored, actionable.

Call intelligence records and transcribes conversations, scores them against what good looks like, and pulls out the next steps, objections and commitments — so coaching is based on what actually happened, not memory.

TranscriptsScoringNext stepsCoaching
deepEntra call intelligence - transcript review, focused

Hyper-personalization, grounded in real research.

Instead of a mail-merged template, the AI researches each contact with live web search, cites its sources, and writes outreach that references something true and specific to them. Hyper-personal at scale — grounded, checkable, and yours to approve before it sends.

Web researchCitationsPer-contactYou approve
deepEntra · AI Personalization
AI Personalization — citation-grounded research hooks for 1:1 email

Dashboards that explain themselves.

Report Studio doesn't just chart the numbers — the AI reads the trend, tells you what changed and why, and flags what needs attention. The insight arrives with the data, so nobody has to go digging for it.

Auto-insightsWhat changedAnomaliesNo BI team
deepEntra · Report Studio
Report Studio
Trust is the product

Your data trains no one else's model.

AI is only worth having if you can trust it with what matters. Privacy isn't a setting in deepEntra — it's the foundation the whole AI layer is built on.

Scoped per tenant — never shared or cross-trained
Email is read on an allowlist, not a denylist
Full message bodies are never sent to the model
We don't store the contents of your inbox
Every AI action is logged in the audit trail
Bring your own model — or run a private, self-hosted LLM
1
Intelligence layer, all products
4
Autonomous agents
100%
AI actions audited
Private
Self-hosted LLM option

See the AI on your own data.

Book a demo and we'll run the copilot and agents against a slice of how you actually work.