Jeeva AI Review (2026): AI SDR Pricing, Limits & Alternatives
Bottom line
Jeeva AI is a Web SaaS tool for AI SDR (Autonomous B2B Sales Agents & AI BDRs) in AI SDR & Outbound. Pricing: Free plan · From $95/mo. Best suited to B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps). Editor ratings: AI autonomy L3 (conditional automation); moat score 4.2/5.0 (Proprietary moat). Fact-checked by Jagmeet Sine on Oct 15, 2026.
Autonomous digital worker platform running specialized AI agents across outbound sales prospecting, lead verification, and go-to-market pipeline workflows.
Jeeva AI buyer fit verdict: when to choose vs. when to walk away
Choose Jeeva AI if (Best Fit)
- Target ICP & Stack Fit: You operate as B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps) requiring a Web SaaS deployment for AI SDR, with verified ecosystem connectivity for Outreach.
- L3 Architecture & Defensibility: Shared worker runtime integrating dynamic planning engines, contextual multi-session memory, and specialized agentic orchestration across B2B data verification and outreach systems.
- Commercial Model Fit: Your procurement budget aligns with Free plan · From $95/mo and want a self-serve free tier for zero-cost initial validation.
Walk away from Jeeva AI if (Deal-Breakers)
- Walk away if your workflow requires uncapped enterprise volume on the Free plan · From $95/mo entry plan without upgrading tiers.
- Walk away if your workflow cannot tolerate mailbox deliverability and domain reputation: Automated cold outreach volume creates significant deliverability risks, requiring manual mailbox warming, secondary domain provisioning, and external DNS record management to prevent spam flagging.
- Walk away if enrichment accuracy and data coverage is a deal-breaker for your team: Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale.
Jeeva AI key facts & scorecard
| Pricing | Free plan · From $95/moVendor pricing page |
|---|---|
| Free plan | Yes |
| Delivery | Web SaaS |
| Audience | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) |
| AI autonomy level | L3 · Conditional automationEditor-verified |
| Moat tier & score | 4.2 / 5.0 · Proprietary moatEditor-verified |
| Funding | Series A |
| Total funding | $33.3MBacked by Sapphire Ventures |
| Founders | Gaurav Bhattacharya |
| Company size | 51-200 employees |
| Ecosystem integrations | Outreach |
| Headquarters | San Francisco, California |
| Founded | 2024 |
| Last verified |
Jeeva AI pros & cons: strengths vs. operational limitations
Pros: core strengths & capabilities
- Autonomous digital worker runtime: coordinating multi-step GTM tasks
- Persistent shared memory layer: maintaining cross-session pipeline context
- B2B prospect discovery: with email finding and phone verification
- Automated outbound campaign planning: and personalized sequence generation
Cons: operational limitations & risks
- Mailbox Deliverability and Domain Reputation: Automated cold outreach volume creates significant deliverability risks, requiring manual mailbox warming, secondary domain provisioning, and external DNS record management to prevent spam flagging.
- Enrichment Accuracy and Data Coverage: Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale.
- CRM Schema and Bidirectional Sync Latency: Integrating into heavily customized enterprise CRM architectures requires rigid field-mapping governance to prevent data collisions and synchronization lag across active pipeline stages.
Jeeva AI TCO & deal-breaker stress test
Simulate 12-month stepped TCO, hidden cost multipliers, contract lock-in exposure, and stack failure modes using only facts verified by Jagmeet Sine on · Capture SHA 48c545aa.
Jeeva AI aligns with your 5-seat / $800/mo profile. Review the walk-away triggers and contract levers below before deployment.
| Plan / Tier | Verified Rate | Scale Fit | Scope & Quota Notes |
|---|---|---|---|
| Free / Sandbox | $0 | Unlimited seats (capped credits) | Entry free tier with capped usage or feature quotas for initial workflow testing. |
| Growth | $95/mo | Unlimited seats (Entry credits) | For individuals ready to scale outreach |
| Scale | $239/mo | Unlimited seats (Growth credits) | For power users who need pro-level tools |
- Moat Score
- 4.2 / 5.0
- AI Autonomy
- L3
- Free Tier / Trial
- Free plan
Triggered audit signals & failure modes
- Published Self-Serve Entry FloorVerified Pricing Ledger
Jeeva AI publishes a transparent entry point (Free plan · From $95/mo) with a free tier for initial validation before committing.
- Tier Fit for 5-Seat Scale: Scale ($239/mo)Verified Tier Schedule
For power users who need pro-level tools
- Primary Operational Bottleneck: Enrichment Accuracy and Data CoverageAudit by Jagmeet Sine
Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale.
Hidden TCO Multipliers & Quota Gates
- Annual Billing Headline vs. Monthly Premium: Headline entry rates reflect annual billing commitments (Save 20%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.
- Credit & Usage Burn Multiplier: Automated workflows consume metered credits/usage quotas; multi-step enrichment, voice minutes, or high-frequency agent runs can trigger mid-cycle top-up packs.
- Enterprise Governance & Add-On Gating: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.
When to Walk Away & Negotiation Levers
- Walk away if your workflow requires uncapped enterprise volume on the Free plan · From $95/mo entry plan without upgrading tiers.
- Walk away if your workflow cannot tolerate mailbox deliverability and domain reputation: Automated cold outreach volume creates significant deliverability risks, requiring manual mailbox warming, secondary domain provisioning, and external DNS record management to prevent spam flagging.
- Walk away if enrichment accuracy and data coverage is a deal-breaker for your team: Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale.
- Validate exact quota thresholds (seats, credits, or API calls) included in Jeeva AI's Free plan · From $95/mo tier before converting from monthly to annual billing.
- Require a sandbox proof-of-concept testing mailbox deliverability and domain reputation against your live CRM/data schema before annual sign-off.
Ask a custom procurement or TCO stress-test question about Jeeva AI
Lower 5-seat floor (~$55/mo vs. $239 / mo)
Lower 5-seat floor (~$13/mo vs. $239 / mo)
Jeeva AI key entities, modules & ecosystem stack
Jeeva AI moat & subtrack positioning
Shared worker runtime integrating dynamic planning engines, contextual multi-session memory, and specialized agentic orchestration across B2B data verification and outreach systems.
Editorial review
Fact-checked by Jagmeet Sine (Senior MarTech Infrastructure & Agentic Workflow Architect) on .
Background
Capitalized with $33.3M in venture funding and founded in 2024 in San Francisco, California, Jeeva.ai develops autonomous digital workers designed to execute specialized go-to-market and revenue operations workflows. The platform targets sales development directors, revenue operations leaders, and demand generation teams looking to replace fragmented manual prospecting sequences with deterministic agentic execution. Positioned in the autonomous sales agent market, Jeeva.ai centers its value proposition on operationalizing digital workers that independently plan, verify, and orchestrate outbound revenue tasks.
How Jeeva AI works
Operating at an L3 autonomy profile, Jeeva.ai executes multi-step outreach workflows through a specialized worker runtime coupled with an autonomous planning engine and shared contextual memory. The system ingests account lists and ICP parameters, parses contact records, and executes real-time email and phone verification against external registries. Once contacts are validated, the planning engine formulates multi-touch sequences, dynamically selects templates, and adjusts personalization tokens based on historical prospect engagement data stored in its persistent memory layer.
Limitations
Operational considerations and platform boundaries include:
- Mailbox Deliverability and Domain Reputation: Automated cold outreach volume creates significant deliverability risks, requiring manual mailbox warming, secondary domain provisioning, and external DNS record management to prevent spam flagging.
- Enrichment Accuracy and Data Coverage: Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale.
- CRM Schema and Bidirectional Sync Latency: Integrating into heavily customized enterprise CRM architectures requires rigid field-mapping governance to prevent data collisions and synchronization lag across active pipeline stages.
Jeeva AI pricing
Commercial access follows a tiered SaaS subscription structure based on platform seats, verification credits, and agent capacity. Teams can start evaluation on a Free tier at $0 per month, which offers limited search functionality and credit allotments for early pipeline testing. Production deployment scales to the Growth plan at $95 per month, unlocking higher volume allotments for automated prospect extraction, verified corporate email lookups, and multi-channel sequence execution.
How Jeeva AI compares
Within the autonomous BDR sector, Jeeva.ai competes directly against platforms such as 11x.ai, 1mind, and Actively AI. While 11x.ai emphasizes fully turnkey synthetic representatives, and Actively AI focuses on deep behavioral intent triggers, Jeeva.ai differentiates through its modular digital worker runtime and accessible self-serve tier. It remains optimized for mid-market revenue organizations that require programmatic prospecting orchestration without committing to enterprise-scale deployment contracts.
Direct competitors & market radar
Top algorithmic competitors based on category positioning, capability overlap, and ICP alignment.
Frequently asked questions about Jeeva AI
How much does Jeeva AI cost and what pricing tiers are available?
Published pricing summary for Jeeva AI: Free plan · From $95/mo. Jeeva AI includes a free tier or sandbox entry point. Verified tier schedule: Free / Sandbox ($0 for Unlimited seats (capped credits)); Growth ($95/mo for Unlimited seats (Entry credits)); Scale ($239/mo for Unlimited seats (Growth credits)). Commercial access follows a tiered SaaS subscription structure based on platform seats, verification credits, and agent capacity. Teams can start evaluation on a Free tier at $0 per month, which offers limited search functionality and credit allotments for early pipeline testing.
How does Jeeva AI work and how autonomous is its AI architecture?
Autonomous digital worker platform running specialized AI agents across outbound sales prospecting, lead verification, and go-to-market pipeline workflows. Within AI SDR (Autonomous B2B Sales Agents & AI BDRs), MarTechRadar rates its execution architecture at L3 · Conditional automation with a verified Moat Score of 4.2 / 5.0 (Proprietary moat). Shared worker runtime integrating dynamic planning engines, contextual multi-session memory, and specialized agentic orchestration across B2B data verification and outreach systems. Corporate profile: Founded by Gaurav Bhattacharya, operating at 51-200 employees scale.
What are the main limitations of Jeeva AI and when should buyers walk away?
Based on our editorial technical audit, key operational considerations and boundaries for Jeeva AI include: (1) Mailbox Deliverability and Domain Reputation: Automated cold outreach volume creates significant deliverability risks, requiring manual mailbox warming, secondary domain provisioning, and external DNS record management to prevent spam flagging. (2) Enrichment Accuracy and Data Coverage: Data coverage degrades outside Tier-1 North American enterprise profiles, requiring human verification loops when phone number match rates drop or corporate contact data becomes stale. (3) CRM Schema and Bidirectional Sync Latency: Integrating into heavily customized enterprise CRM architectures requires rigid field-mapping governance to prevent data collisions and synchronization lag across active pipeline stages. Primary procurement walk-away rule: Walk away if your workflow requires uncapped enterprise volume on the Free plan · From $95/mo entry plan without upgrading tiers.
What integrations, compliance certifications, and contract terms apply to Jeeva AI?
Verified ecosystem and stack integrations include Outreach. Key TCO multiplier to watch: Annual Billing Headline vs. Monthly Premium (Headline entry rates reflect annual billing commitments (Save 20%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.) Before signing a contract, procurement teams should validate exact quota thresholds (seats, credits, or API calls) included in Jeeva AI's Free plan · From $95/mo tier before converting from monthly to annual billing.
What are the best Jeeva AI alternatives and head-to-head competitors in 2026?
Top fact-checked alternatives to Jeeva AI in AI SDR (Autonomous B2B Sales Agents & AI BDRs) include Centralize (Free plan · From $0/mo), Fiber AI (From $300/mo), Firmable (From $55/mo), VeriMails (From $12.50/mo). Within the autonomous BDR sector, Jeeva.ai competes directly against platforms such as 11x.ai, 1mind, and Actively AI.
Verified sources & evidence trail
- Official product domain: https://www.jeeva.ai
- Commercial pricing verification: https://www.jeeva.ai/pricing
- Verified corporate entity profiles (
sameAs): LinkedIn Company Profile · Crunchbase Entity Record - Editorial audit sign-off: Fact-checked by Jagmeet Sine on under the MarTechRadar Evidence-Ledger Protocol.