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MCP-native.
Ships every Friday.

Rlly exposes every call — transcripts, summaries, MEDDIC signals, deal context — as a first-class MCP server. Query a live deal from Claude Desktop, ChatGPT, Cursor, or your own agents. Subscribe to call events via webhooks. Write custom policies in TypeScript. Built with Claude Code. Shipped every Friday.

MCP
Native server
<500ms
In-call latency
Fri
Ship cadence
BYO
LLM on Max
[11] For developers

Every call is programmable.

Rlly Notes is MCP-native. Bring your call transcripts, summaries, and MEDDIC signals into Claude, ChatGPT, Cursor, or your own agents. Every call becomes queryable context — not a silo.

  • MCP server for Rlly Notes Connect any MCP-compatible client in 60 seconds. Transcripts, summaries, signals, deal context.
  • REST API + webhooks Subscribe to call events. Trigger your own agents on objection detected, MEDDIC gap, or risk signal.
  • Policy SDK Write custom governance policies in TypeScript. Every agent action routes through your rules.
  • BYO model (Max tier) Route coaching through your Azure OpenAI, Bedrock, or self-hosted model. Rlly keeps the governance layer.
// Add Rlly Notes to Claude Desktop { "mcpServers": { "rlly-notes": { "command": "npx", "args": [ "@rlly/mcp-notes", "--workspace=acme" ], "env": { "RLLY_API_KEY": "rlly_live_..." } } } }
→ Query a call from Claude:
"What did TopCloud say about procurement in yesterday's discovery?"
[12] Field notes

We ship every Friday.

Rlly is built in public. Here's what we shipped this month, what's in flight, and what we're thinking about. Follow along on LinkedIn or r/rllyai.

Apr 17 · 2026
v0.8 · SHIPPED

Pre-call command center is live.

Brief generation is now under 90 seconds. We also rebuilt the attendee research pipeline to pull LinkedIn, recent funding events, and prior-call signals into a single two-paragraph brief. Design partners are running it daily.

  • Pre-call briefs auto-generated before your next meeting
  • Attendee research from LinkedIn + company news + CRM history
  • MEDDIC gap detection on first-pass brief
Apr 10 · 2026
v0.7 · SHIPPED

Live coach cards dropped to 420ms average.

We moved objection detection to an edge model and kept full rebuttal generation on GPT-5 via Azure OpenAI. Net result: reps see the coach card before they've finished hearing the objection.

  • Median prompt latency: 420ms (down from 880ms)
  • P95 latency: 680ms
  • Supports Zoom, Teams, Meet, Webex
Apr 3 · 2026
v0.6 · SHIPPED

Manager dashboard GA.

One screen for methodology compliance, coaching coverage, and flagged moments across the full team. Coach cards now auto-assign to reps with action items pre-drafted.

  • Live methodology compliance tracking per rep
  • Auto-generated coaching playlists
  • Flagged moments pushed to manager inbox in real time
In flight
v0.9 · NEXT

Rlly Guardrails — policy-governed agent actions.

We're building a signed policy layer on top of every agent action. Think: every email Rlly sends, every CRM write, every LinkedIn invite — all cryptographically signed, audit-logged, and reversible. No action fires without passing your policy. Based on the published research from Peh 2025.

  • EdDSA-signed action ledger
  • Policy DSL in TypeScript
  • One-click rollback on any auto-executed action
Soon
v1.0 · GA

Public launch · Summer 2026.

Salesforce AppExchange + HubSpot App Marketplace listings go live. Rlly Notes self-serve opens to the public. Rlly Pro opens to teams of 5+. Rlly Max enters pilot with three enterprise customers.

See Rlly in action.

Tell us how many hours a week your reps spend outside of sales calls. We'll walk you through a live Rlly demo, run the ROI calculator on your team, and if it feels like a fit — invite you to our design partner program.

Get time with Rlly → See the ROI math