Agentic Index
Floworks vs Jeeva (2026)
Floworks and Jeeva are young multi agent AI SDR challengers with free entry points. Floworks leads with Alisha on its proprietary ThorV2 model, plus a free research agent named Jesse, with its Ultra tier at 498 dollars a month. Jeeva runs a multi agent pipeline from inside Gmail and Outlook with published tiers from roughly 49 dollars. Both carry thinner public documentation than the category leaders, so pilot before committing.
| At a glance | Floworks | Jeeva |
|---|---|---|
| Category | GTM / revenue agent | GTM / revenue agent |
| Entry price | Jesse research agent free · 3 tiers (email-only, email+LinkedIn, Ultra) · Ultra $498/mo · lower tiers from ~$200/mo (unconfirmed) · CRM sync needs annual commitment | Free plan · Essentials ~$49/mo · Growth ~$119/mo · Scale ~$299/mo · credit-based (credits don't roll over) |
| Free / trial | Jesse research agent free to start (no credit card). 10% additional discount on annual plans for Y Combinator referrals. | Free plan (lead discovery, enrichment, single-lead research, email finding/verification, Chrome Extension, email templates; limited credits). Free trial available. |
| Pricing confidence | public partial | public exact |
| Feature |
F
Floworks
|
J
Jeeva
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
No / Not documented | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / Not documented | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
No / Not documented | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Partial | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
F
Floworks
|
J
Jeeva
|
|---|---|---|
|
Entry price Lowest public entry point |
Jesse research agent free · 3 tiers (email-only, email+LinkedIn, Ultra) · Ultra $498/mo · lower tiers from ~$200/mo (unconfirmed) · CRM sync needs annual commitment | Free plan · Essentials ~$49/mo · Growth ~$119/mo · Scale ~$299/mo · credit-based (credits don't roll over) |
|
Pricing confidence How public the numbers are |
Public — partial | Public — exact |
|
Billing Primary billing axis |
Tiered monthly subscription by plan and channel coverage (email-only, email+LinkedIn, Ultra); Pro tier has a per-meeting component; free research agent tier | Tiered monthly subscription plus a monthly credit pool; credits power email sends, LinkedIn tasks, data lookups, and voice drops (credits do not roll over) |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
Choose Floworks if
- The proprietary model pitch appeals: ThorV2 is tuned for the sales conversation itself.
- Jesse as a free research agent is a genuinely useful zero cost entry.
- You want email and LinkedIn executed by one named agent end to end.
Choose Jeeva if
- Inbox native operation means adoption without a new surface.
- Cheaper published tiers cover discovery through outreach for a lean team.
- The multi agent split, discover, enrich, score, reach out, gives you inspectable stages.