Turn tool-hunting
の中へ one AI platform.
You’ve got a dozen AI tools directories bookmarked, hunting for the right fit. Speak AI is the platform many of those lists point to: transcription, analytics, AI agents, and consulting in one workspace, built around how your team actually works.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring one recording. Leave with it scored.
A working session, not a sales pitch. No obligation.
You bring a real call
A sales call, a support call, a client consult, an interview. Whatever your team reviews by hand today.
We map your workflow
The fields you already track, the terms your team uses, the outputs you need. Your words, your structure. Not a template.
You see it scored, live
Your own conversation, graded on your own criteria, with a rollout plan for the whole team.
Why teams stop browsing AI tools directories.
The same workspace, pointed at whatever your team already records, uploads, or reviews by hand.
Vendor consolidation
One subscription instead of a transcription tool, an analytics tool, and an AI assistant, each billed separately and none talking to each other.
Voice & content research
Turn interviews, podcasts, and customer calls into themes and quotes you can act on, without a separate tagging tool.
Qualitative analysis
Code, theme, and visualize interviews at a scale a single-purpose transcription tool from a directory listing was never built for.
White-label delivery
Resell a branded platform to clients instead of forwarding them a list of tools you found in a directory.
Call & ticket QA
Score and route conversations automatically, instead of trialing a new point solution every quarter.
API & MCP access
One API and MCP server instead of stitching together five different vendors’ SDKs to ship a feature.
A different approach to choosing AI tools.
The problem with directory-hopping
Most AI tools directories exist to list as many single-purpose tools as possible: one for transcription, one for sentiment, one more AI tool layered on top for summaries. Buyers end up stitching three or four subscriptions together, none of which share data, and none of which learn your team’s language, tone, or history.
How Speak AI reads a conversation
A generic AI tool reads words. Speak AI reads three layers at once: the words, the voice (tone, emotion, energy), and, where video is involved, the visuals. It tracks how those layers move over a single call and across every call your team has had this quarter, not just a one-off snapshot.
Directories worth a bookmark, if you keep browsing
- Futurepedia and Product Hunt’s AI collections for spotting new single-purpose tools early.
- GitHub’s open-source AI-tool lists for engineering teams who want to self-host.
- Reddit’s AI tools threads for honest, unsponsored opinions on what actually works.
What teams get instead
Speak AI replaces that stack with one workspace: transcription, structured analytics, customizable dashboards you can white-label for clients (see データ可視化), and an MCP server that puts your data inside Claude, ChatGPT, and Cursor. It is the same approach a legal intelligence firm used to process 5,100+ hours of carrier calls and save $700K, detailed in the large-scale comparative analysis, applied to whatever your team already records or uploads.
- We design the context, fields, and scoring around your workflow, not a category filter from a directory listing.
- Your historical recordings and transcripts prime the 知識ベース before go-live.
- Structured data on every conversation, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Bring your applications into Claude, ChatGPT, and Cursor.
No terminal. No npm. No config. Speak AI's MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.
One platform. Not one model.
A generic AI tool from a directory listing locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each task, file type, and team, so your workflow is never locked to a single vendor you found on a list.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
100以上の言語
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
Your first setup runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.
Yes, several of the directories worth bookmarking include Speak AI. We’d rather you judge us on the platform than a one-line summary though, which is what the free consult is for.
Most directory tools do one job: transcribe, or summarize, or chat. Speak AI captures the conversation, reads the words and the tone, structures it into fields your team defines, and puts it in front of Claude, ChatGPT, or Cursor through MCP, all in one workspace.
Yes. Bring a real recording to a free 30-minute consult and leave with it processed on your own criteria. There is also a free tier if you want to explore on your own first.
Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
Stop browsing directories. Start with one platform.
Book a free consult, bring a real recording, and see it transcribed, scored, and structured on your own criteria before the meeting ends.
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