| What it does | AI agents for field service, technical support, and customer care
| AI agent orchestration platform for coordinating multiple AI agents toward shared goals
|
|---|
| Stage | Established
| Not given
|
|---|
| Founded | 2020
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Contact for pricing
| Freemium
|
|---|
| Pricing | Not given
| Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
|
|---|
| Key features | - Service Expertise Graph built from case history
- Step-by-step diagnostic guidance adapted to technician role and experience
- Predictive issue identification
- Direct integrations with Salesforce, ServiceNow, SAP, and Microsoft
- Real-time learning and improvement from each case closed
- Multi-region service standardization
| - Mayor agent that orchestrates goals into tasks and coordinates multiple agents
- Shared task board with claims and leases to prevent duplicate work
- Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents
- One-tap approvals for risky agent actions on web, email and Slack
- Prompt injection defense using quarantined models and taint tracking
- Shared memory and stores for agents to read and write persistent context
- Shared API keys that lend agent access without exposing credentials
- Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
|
|---|
| What makes it different | - Deterministic guidance grounded in actual fixes your team has performed, not AI guesses
- Improves with every resolution, creating institutional knowledge at scale
- Fast deployment of weeks, not months, with pilots running quickly
- Levels the playing field so newly onboarded technicians match experienced ones
| - Agents coordinate with each other without constant human supervision through a Mayor agent
- Security designed for agents with quarantined models reading untrusted input before privileged actions
- One-tap approvals on phone for agent actions rather than constant monitoring
- Works with any agent that speaks HTTP, not locked to one platform
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 48 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 15 | 0 |
|---|
| Citation Flow (Majestic) | 35 | 0 |
|---|
| Referring domains (Majestic) | 249 | 0 |
|---|
Neuron7
Bitfolk