MCP-native.
Ships every Friday.

Rlly exposes every sales call — transcripts, summaries, MEDDIC signals, and deal context — through a first-class MCP server, REST API, webhooks, and policy SDK. Query a live deal from Claude Desktop, ChatGPT, Cursor, or your own agents.

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.

Ten design partners.
Seven spots left.

Ship the Rlly that works for your sales org, not someone else's. Design partners get a direct line to the founders, Max-tier pricing locked for two years, and a quarterly roadmap vote. In exchange, we get real calls, real playbooks, and the brutal feedback that makes Rlly defensible.