Jeeva AI

What Jeeva AI does

Jeeva AI is an autonomous digital worker platform designed for long-horizon enterprise execution. It builds AI workers that take ownership of repetitive, manual, role-based work across revenue, IT, and back-office teams. Unlike systems that automate isolated tasks, Jeeva's workers are designed to run complete workflows end-to-end, incorporating memory, planning, execution, recovery, and auditability. The platform currently offers six revenue workers in production: Leads, Enrichment, Research, Inbound, Outreach, and Deals Intelligence, which assist teams in prospect discovery, data enrichment, account research, inbound signal management, outreach execution, and deal intelligence surfacing without manual handoffs. Jeeva is used by over 36,000 users and is experiencing 30% month-over-month organic growth. The company's 2026 roadmap aims to expand Jeeva into a full enterprise digital worker platform across three product teams. The platform emphasizes a five-layer architecture for autonomous systems, enabling workers to perceive, reason, act, remember, and operate with identity and context. It also offers a no-code deployment approach, allowing users to describe the desired worker functionality for automatic orchestration.

Products

• Leads WorkerHelps teams discover prospects.
• Enrichment WorkerEnriches data for prospects and accounts.
• Research WorkerResearches accounts and prospects.
• Inbound WorkerManages inbound signals.
• Outreach WorkerExecutes sales outreach.
• Deals Intelligence WorkerSurfaces deal intelligence.
• Support Resolution WorkerTriages, investigates, and resolves tier-1 and tier-2 tickets autonomously, escalating on policy thresholds.
• IT Operations WorkerProvisions access, handles incidents, and runs onboarding playbooks.
• Revenue WorkerOperates on opportunity stage changes, performing enrichment, routing, follow-ups, and account research at every signal.
• GTM Engineer WorkerBuilds campaign-side automations, enriches inbound leads, and runs A/B routing across the funnel.
• Security Ops WorkerInvestigates anomalies, gathers context across logs and identity, and runs first-response playbooks under continuous authentication.
• Finance WorkerProcesses invoices, matches POs, routes exceptions for approval, and posts to accounting on success.
• SnitcherIdentifies anonymous website visitors and reveals the companies behind them using IP matching.
• BuskaCollects structured company and contact data from public web sources to support enrichment and research workflows.
• PhantombusterAutomates data extraction from LinkedIn and other platforms using browser-based automation agents.

Key capabilities

• Autonomous digital workers
• Long-horizon enterprise execution
• End-to-end workflow automation
• Memory, planning, execution, recovery, and auditability built-in
• Unified five-layer architecture for autonomous systems
• NLP-first deployment: describe the worker, deploy in seconds, no code
• Shared Worker Runtime
• Shared Memory
• Planning Engine
• Execution Engine
• Human Approvals
• Email finder & verification
• Basic prospect search
• Chrome extension
• Email templates
• Advanced search filters
• CRM integrations
• Email sequences
• Analytics dashboard
• AI-powered lookalikes
• Real-time data enrichment
• Team collaboration
• Advanced AI scoring
• SSO & RBAC
• Dedicated CSM
• Private Data Residency
• Compliance (HIPAA, SOC 2, ISO 27001)
• Unlimited Seats
• White-Glove Onboarding & Certification
• Early-Access & Custom Builds
• 98% Data Accuracy
• Real-time verification of contact details
• Personalized sequences that adapt and optimize
• ML-powered pipeline predictions
• Advanced security & compliance
• Volume Discount Available
• Custom Integrations
• Custom Onboard & Training
• Dedicated Success Manager
• Instant Lead Scoring & Route
• AI Personalization at Scale
• Objection Handling & Sequencing
• CRM & RevOps Sync
• Multi-Channel Sequencer (Email, InMail, Dialer)
• Deliverability guardrails
• Auto notes & CRM sync
• Stakeholder graphing
• Security & compliance alignment
• SSO / SCIM provisioning
• Data residency & governance
• Policy engine & SLA enforcement
• Multi-agent orchestration
• IP-to-company mapping
• Company name, Location, Visit timestamps sync
• Company data, Contact details, Web-derived attributes sync
• Profile data, Engagement signals, List exports sync

Use cases

• B2B lead generation
• Agentic AI
• RevOps AI
• Lead Generation Automation
• AI-Powered Lead Enrichment
• Autonomous Sales Outreach
• B2B Sales Automation
• Customer Acquisition Automation
• Discovering prospects
• Enriching data
• Researching accounts
• Managing inbound signals
• Executing outreach
• Surfacing deal intelligence
• Triaging, investigating, and resolving tier-1 and tier-2 customer service tickets
• Provisioning access for IT
• Handling IT incidents
• Running IT onboarding playbooks
• Operating on opportunity stage changes (enrichment, routing, follow-ups, account research)
• Building campaign-side automations for growth teams
• Enriching inbound leads for growth teams
• Running A/B routing across the funnel for growth teams
• Investigating security anomalies
• Gathering context across logs and identity for security
• Running first-response playbooks for security
• Processing invoices for finance
• Matching POs for finance
• Routing exceptions for approval for finance
• Posting to accounting for finance
• Ticket resolution
• Incident response
• Revenue Pipeline Ops
• Invoice Processing
• Anomaly Response
• Human Resources Onboarding
• Resolving billing disputes
• Escalating P1 tickets
• Generating weekly CSAT reports
• Expanding LinkedIn reach for sales professionals
• Lead discovery
• Personalized outreach
• Building relationships & closing deals
• Targeting better with advanced filters
• Keeping lead lists fresh with auto-updates
• Syncing call notes to CRM
• Managing multiple inboxes
• Scheduling across time zones
• Running multichannel outreach (Email, LinkedIn & AI follow-ups)
• Personalizing campaigns at scale
• A/B testing messages and sequences
• Automating workflows across inbox, CRM, and sequences
• Handling inbound leads, site chat, and routing with AI
• Prioritizing leads with AI signals
• Booking ICP meetings
• Replying to inquiries in under 60 seconds
• Enriching leads in real time
• Automating outbound and inbound sales
• A/B testing prompts and segments
• Scaling what works in sales
• Identifying companies browsing websites
• Engaging accounts shortly after website visits
• Assigning accounts to reps based on geography
• Identifying companies within niche categories
• Extracting publicly available contact information
• Converting web presence into structured records
• Pulling structured data from LinkedIn searches
• Extracting engagement lists from posts
• Turning social activity into contact lists
• Automating pipeline and outreach
• Closing enterprise deals faster
• Automating lead generation
• Accelerating pipeline growth

AI approach

Jeeva AI builds autonomous digital workers powered by agentic AI for long-horizon enterprise execution across revenue, IT, and back-office teams. These AI workers perceive, reason, act, remember, and operate with identity, running complete workflows end-to-end. The platform uses a five-layer architecture for autonomous systems and leverages NLP for worker deployment. It employs ML-powered pipeline predictions and an "o3 mini-model" for lead scoring and intent surges.

Tech named: agentic AI, NLP, ML-powered pipeline predictions, o3 mini-model

Industries served

• Software Development
• Revenue
• IT
• Back-office
• Customer Service
• GTM (Go-to-Market)
• Growth
• Security
• Finance
• Sales
• B2B
• EdTech
• Cyber Security

What it says sets it apart

• Autonomous digital worker platform, not just task automation
• Complete workflows end-to-end with memory, planning, execution, recovery, and auditability
• Unified five-layer architecture for autonomous systems
• NLP-first deployment: describe worker, deploy in seconds, no code
• 30% month-over-month organic growth
• 98% data accuracy with real-time verification
• ML-powered pipeline predictions
• Agentic AI handles heavy lifting from discovery to closing
• Fast setup and onboarding (2 mins vs 3-5 hrs for manual/multi-tool stack)
• End-to-end automation depth vs. DIY Zaps
• Significant pipeline lift (1X Baseline)
• AI thinks like a top sales rep, increasing close rates
• SOC 2 Type II, GDPR/CCPA compliance
• Custom scale, iron-clad security, white-glove success for enterprise
• Instant lead scoring and routing (under 200 ms)
• AI personalization at scale with mini-models for scoring
• Multichannel sequencer (email, InMail, dialer) with auto-pausing on reply
• Zero rep intervention for outreach
• Deliverability guardrails (0.1% spam ceiling)
• Real-time enrichment (200 ms live data vs. scraped lists)
• Automated notes and CRM sync (zero-touch summaries)
• Ability to multi-thread 12+ stakeholders in enterprise deals
• Faster security reviews
• Shrinks 120-day sales cycles
• Policy engine for routing and governance
• Multi-agent orchestration (inbox, calendar, notetaker, chat integrated)
• Usage-based pricing flexibility
• Live data sources (100+ APIs vs CSV vendors)
• Built-in multichannel sequencer vs add-on tools
• CRM auto-sync saves 6h/week rep time
• Compliance guardrails protect domain and prevent fines