Mira
Contact Librarian
Embeds every contact with a sentence-transformer, then auto-tags them by intent, role, industry, and buying stage.
Six AI agents do the busywork, so your team sells.
No credit card required to start
$2.4M
Revenue
148
Deals
12
Hot Leads
6 / 8
Agents
Semantic Sorter
Tagged 12 contacts · 'Enterprise Buyer'
Lead Scorer
Dmitri Volkov → 95/100 (↑ from 88)
Pipeline Optimizer
Stall detected: Solvio EU · 21 days
Intelligence Stack
Each agent is a specialized AI workflow built for a specific CRM task — working together in a single, seamless flow.
Our sentence-transformer model embeds every contact and classifies them by intent, role, industry, and buying stage — automatically.
Scores every lead 0–100 from engagement signals, firmographic data, and deal history — so your team works the hottest leads first.
Surfaces stalled deals, flags aging opportunities, and recommends your next best action to keep the pipeline moving.
Claude drafts personalized outreach using semantic tags, deal stage, and contact history. Review before you send.
Whisper transcribes your sales calls. Claude extracts action items, objections, and sentiment — and updates your CRM automatically.
Claude scores the sentiment of incoming messages and call summaries, so a cooling relationship shows up in the contact record instead of going unnoticed.
Your AI team
Six specialized agents handle the CRM busywork — each with one job it does well, a real model behind it, and your review before anything goes out.
Contact Librarian
Embeds every contact with a sentence-transformer, then auto-tags them by intent, role, industry, and buying stage.
Lead Scorer
Scores each lead 0–100 from engagement signals, firmographics, and deal history — a heuristic model, not ML.
Pipeline Watcher
Flags stalled and aging deals and recommends the next best action to keep the pipeline moving.
Outreach Drafter
Drafts personalized outreach from a contact's tags, stage, and history — into a review queue, never auto-sent.
Call Scribe
Transcribes your calls, then pulls action items, objections, and sentiment onto the record.
Sentiment Reader
Scores sentiment on each incoming message and call summary so a cooling relationship surfaces on the contact.
Pricing
For small teams getting started with AI-assisted CRM.
Full agent suite for growing sales teams.
A scoped engagement for teams with specific requirements.
Provenance, not promises
Semantic search
MiniLM embeddings over pgvector
Call summaries
Whisper transcription + Claude (Haiku)
Encrypted
In transit and at rest
Isolated
Per-workspace data separation
Put an AI layer on your pipeline — score leads, draft the follow-ups, and let the busywork run itself.