Agentic Index
Actively AI vs Aomni (2026)
Actively AI and Aomni both apply AI research to pipeline generation at very different commitment levels: Aomni is self serve with published pricing, from 300 dollars a month for up to three seats plus a free tier, producing deep account research on demand, while Actively sells enterprise engagements quoted by accounts, seats, and GTM functions, building reasoning systems that decide which accounts and actions deserve rep time across the whole motion. Aomni equips individual sellers and small teams today; Actively rebuilds prioritization for enterprise revenue organizations with the budget to match.
| At a glance | Actively AI | Aomni |
|---|---|---|
| Category | GTM / revenue agent | GTM / revenue agent |
| Entry price | Not public; quoted through enterprise engagement, scaled to accounts, seats, and GTM functions | From $300/mo · up to 3 seats · free tier |
| Free / trial | Demo and pilot on request; no public free tier | Free |
| Pricing confidence | contact only | public partial |
| Feature |
A
Aomni
|
|
|---|---|---|
| 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. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
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. |
Full / Explicit | 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 | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Unknown / Unspecified |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Unknown / Unspecified |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Unknown / Unspecified |
|
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 | Full / Explicit |
| 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. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Unknown / Unspecified |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
A
Aomni
|
|
|---|---|---|
|
Entry price Lowest public entry point |
Not public; quoted through enterprise engagement, scaled to accounts, seats, and GTM functions | From $300/mo · up to 3 seats · free tier |
|
Pricing confidence How public the numbers are |
Contact only | Public — partial |
|
Billing Primary billing axis |
enterprise engagement scaled to accounts, seats, and functions across the GTM organization | seats |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Mixed |
Choose Actively AI if
- An enterprise wide prioritization engine across GTM functions is the mandate.
- Quoted deployment scoped to your org structure fits procurement.
- You have executive sponsorship for a strategic engagement.
Choose Aomni if
- Self serve start at 300 dollars a month fits your team today.
- Account research depth per seller is the immediate lever.
- A free tier lets reps prove value before any spend.