Jeeva AI

Your sales workflow, mostly automated.

None readiness

About

What is Jeeva AI

Jeeva AI runs autonomous sales agents that handle prospect discovery, lead enrichment across 50+ data points, personalized email and LinkedIn outreach, inbox management, meeting prep, and automated notes — all from one platform. It's built for SDRs, BDRs, GTM leads, and founders at SMBs and mid-market companies who need to run outbound without scaling headcount. The standout capability is its autonomous task execution: the agents don't just surface leads, they draft replies, prioritize your inbox, and coordinate calendar scheduling without waiting for manual input. It connects natively to Salesforce, HubSpot, Zoho, LinkedIn, and Gmail, so data flows into existing CRM workflows rather than creating a parallel system. That said, teams with complex, non-standard sales motions or deep reporting needs will find the platform's customization and analytics depth limited compared to purpose-built tools.

AI Sales Ops Data & Discovery Outreach

Capabilities

Key features

AI sales assistant

agent that handles inbox, research, and scheduling

Native CRM integration

first-party connectors, no middleware required

AI capabilities

autonomous multi-step actions, per-prospect AI research, AI-drafted personalised copy, call transcription + summary

Workflow

multi-step sequences, email + LinkedIn + phone

Our verdict

Vanderbuild take

Jeeva AI is a full-stack sales assistant for SDRs, BDR teams, and founders who want one tool to cover prospecting, enrichment, outreach, and inbox management rather than stitching together four separate point solutions. On the agentic readiness front, this is UI-only — there's no public API and no MCP server, so you can't drive it from an external agent or plug it into an orchestration layer without scraping, which is a real ceiling if you're building anything programmatic on top. Pricing starts at $16/month with a free tier, so the entry cost is low and worth testing for small teams, but expect to upgrade as contact volume and sequence complexity grow. The honest limitation is reporting: if you need granular attribution, funnel analytics, or custom dashboards, you'll want a separate layer — what's built in is functional but shallow.

Mateusz Sekta

Founder, vanderbuild

The wedge

Agentic stack profile

API

Not public

No public programmatic access.

No public API. Not usable from an agent without scraping.

Agentic readiness

None

Not usable from an agent without scraping.

No public API. UI-only. Not usable from an agent without scraping, which we don't recommend.

Stack role

AI agent · Enricher · Sequencer

Where this tool slots into an agentic pipeline.

Plays the role of AI agent + Enricher + Sequencer in an agentic pipeline. Use it to act autonomously on inbox, scheduling, or research work; add firmographic, technographic, and signal data to a lead row on the fly.

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