Kai
Sales & Revenue Teams
Determined · Resourceful · Loyal
Keeps your pipeline moving. Coordinates demos, multi-stakeholder meetings, and follow-ups so deals don't stall.
$795 / mo introductory
The first scheduling agents you can hire.
Zara works your calendar. Ray works your hiring pipeline. Built on the engine that has run scheduling for 128 enterprises across 90 countries since 2020. From $795 per agent per month (introductory).
The agents
Eleven agents. One engine.
Start with Zara for any scheduling need. Upgrade to a specialist when your vertical demands it. Same ANCI engine underneath, vertical-specific training on top.
● Live now
Zara
General Purpose Scheduling
Bold · Energetic · Proactive
The general-purpose scheduling agent. Handles any scheduling request end-to-end and recommends a specialist when your vertical calls for one.
See everything Zara does →
Launching June 2026
Ray
Recruiting & Talent Acquisition
Charismatic · Organized · Confident
Coordinates interview scheduling across panels, candidates, and hiring managers. Eliminates the back-and-forth that slows down hiring.
$795 / month
Introductory pricing
Meet Ray →
Eight specialist agents in development
Mia
Executive Scheduling
Adaptable · Communicative · Curious
Handles everything from board meetings to dentist appointments. Learns your preferences and keeps you informed without being asked.
$995 / mo introductory
Ben
M&A, Legal & Enterprise
Diplomatic · Balanced · Team-Oriented
Coordinates scheduling across 4–6 organizations and 15–30 people, without exposing confidential details.
$1,495 / mo introductory
Finn
Legal Operations
Disciplined · Ambitious · Responsible
Schedules depositions, hearings, and case management meetings with zero tolerance for missed deadlines.
$995 / mo introductory
Tess
Healthcare & Medical
Dependable · Practical · Calm
Schedules patient appointment chains (specialist, lab, follow-up) with insurance pre-auth handling and no-show prediction.
$795 / mo introductory
Luna
Education & Academic
Intuitive · Empathetic · Supportive
Makes office hours approachable. Books tutoring with context, sends encouraging reminders, manages professor availability.
$595 / mo introductory
Max
Operations & Team Management
Detail-Oriented · Efficient · Methodical
Optimizes your team's internal scheduling. Keeps the cadence running and identifies meetings that should be emails.
$795 / mo introductory
Nova
Events & Conferences
Independent · Optimistic · Energetic
Manages speaker schedules, multi-track sessions, attendee RSVPs, and vendor coordination.
$995 / mo introductory
The engine
ANCI is the engine underneath every agent.
Multi-tenant scheduling infrastructure that handles the calendar complexity human schedulers spend hours on every day. Build your own agent on top, or hire one of ours.
Read developer docs →Every calendar provider
Google, Microsoft, Apple, every system your customers actually use. One API, all providers.
Multi-tenant from day one
Built for SaaS scale. Six years and 128 enterprises of multi-tenant production.
MCP-compatible
Your agent calls ANCI through the Model Context Protocol that agent builders already use.
Production grade
Enterprise SLA, SOC 2, data residency options. The scheduling layer your customers can rely on.
For developers
Build your own agent. Skip the calendar code.
ANCI handles the calendar complexity. You focus on your agent's domain logic. Multi-tenant, API-first, MCP-compatible. The same engine that runs every ANCI agent runs yours.
RESTStandard HTTPS endpoints, OpenAPI 3.1 spec, SDKs for Python and TypeScript
MCPModel Context Protocol server. Plug ANCI into any MCP-compatible agent runtime.
WEBHOOKEvent-driven callbacks for booking, rescheduling, conflict, and confirmation states.
Schedule a meeting via ANCI
// Your agent calls ANCI const meeting = await anci.schedule({ agent: 'zara', participants: [ 'alex@acme.com', 'sam@acme.com' ], duration: 30, window: 'this week', constraints: { timezone: 'America/Los_Angeles', avoid: ['lunch', 'fridays'] } }); // ANCI handles the rest return meeting.booked_slot;
Why now
The Goldilocks Window is open. It won't stay open.
For the next two to four years, AI agents are not competing against other AI agents. They are competing against labor. A $96,000-a-year coordinator role can be replaced by a $795-a-month agent that works 24/7, never quits, and improves every quarter.
That window is open right now. It will close once foundation labs ship into scheduling, or once every vertical has three credible agent offerings competing on margin. Until then, the math favors the customer overwhelmingly, and the vendor with the right infrastructure captures four times the contract value.
Agents today aren't competing against other agents. They're competing against labor. — The Goldilocks Window, TEAMCAL AI Blog
ANCI is built for this window. Per-agent pricing anchored to the labor cost it replaces. Production-grade infrastructure that took six years to build. A team that has already done the work of bringing scheduling agents into 128 enterprises.
Read the full framework →Introductory pricing
One price per agent. Replace one role.
No tiers, no seats, no usage meters. Locked-in introductory pricing for launch customers. The agent costs roughly 6 percent of the loaded labor cost of the role it replaces.
$795
Per agent · Per month · Introductory
The agentProduction-trained, vertical-tuned, ready to onboard in days.
The engineMulti-tenant scheduling infrastructure with enterprise SLA.
Forward deploySolution engineer alongside your team for the first two weeks.
OnboardingOutcome proven inside your data in 14 days, or your first month is free.
The team behind ANCI
Six years. 128 enterprises. The infrastructure under every agent.
ANCI is built by the team that built TEAMCAL AI, the vertical scheduling SaaS that has been running production calendar workflows for 128 enterprises across 90 countries since 2020.
What we learned from six years of vertical scheduling data is the grounding layer that makes ANCI's agents work in the field. A foundation model is a commodity. A decade of edge cases, schemas, and persona-level pain knowledge is not.
128Enterprise customers
90Countries served
2,963Users in production
2020Building scheduling AI since