Transcription

Every conversation, structured, searchable and redacted, in real time.

Streaming ASR with speaker diarization and low-latency inference turns live audio into speaker-labeled, PII-redacted text the instant it's spoken. Embeddings make it semantically searchable. This is the data substrate your agents and analytics run on.

Book a demo See the pipeline

Streaming latency

Locales

Coverage transcribed

Warehouse connectors

The pipeline

Audio in. Structured, searchable, redacted data out.

auto-AGENTS™ transcribes the moment words are spoken, attributes every turn to a speaker, masks sensitive fields before they ever land, and embeds the result so it's instantly searchable, the same stream that powers QA, insights, and live agent handoff.

1Streaming ASR 2Diarize 3Redact · mask 4Embed · search

Token-by-token, with timestamps, sub-500ms.

01 · Streaming ASR

Low-latency inference emits words as they're spoken, not after the call. Word-level timestamps anchor every token to the audio, so transcripts stay aligned for playback, QA scrubbing, and downstream analytics. 155+ locales, with automatic punctuation and inverse text normalization built in.

418ms

p95 first token

155+

locales

ASR · streamingword-level ts

Channel A00:03.4
I'd like to check on my order status.
Channel B00:07.1
Sure, pulling that up by your account.
Channel A00:11.8
It shipped yesterday and tracking shows

Who said what, Customer vs. Agent, automatically.

02 · Speaker diarization

Diarization segments overlapping audio into speaker turns and labels them Customer or Agent without separate channels. Every line carries a speaker tag and confidence, so transcripts read like a clean script and analytics can pivot by speaker, talk-time, and interruption.

Diarization2 speakers

Customer

98%

Agent

99%

Customer

97%

Agent

99%

diarizer resolved 2 speakers · 14 turns · 0 overlaps unlabeled

PII redaction and PCI masking, in-flight.

03 · Redaction

Sensitive entities, card numbers, SSNs, names, account IDs, are detected and masked in the stream before the transcript is ever stored. PCI fields never touch durable storage in the clear, and a language-agnostic policy engine keeps redaction consistent across all 155+ locales.

Inside the engine →

Redaction · livePCI · PII

Sure, my card is •••• •••• •••• 4129, expires ••/••, and the account is under [NAME] at [EMAIL].

PAN maskedexpiry maskedname redactedemail redactedPCI compliant

Embedded, searchable, and piped to your warehouse.

04 · Embed, search & export

Each transcript is embedded into vectors and indexed for semantic search, query by meaning, not keywords. The same structured records stream out over REST and native connectors to Snowflake, Databricks and BigQuery, so QA, insights, and agent handoff all run on one clean substrate.

Export · REST + connectorsembedded

indexer embedded 1 transcript · REST + 170+ connectors

Searchable archive · semantic

Ask the archive a question. Get the moments back.

Because every transcript is embedded, search works on meaning. Query "frustrated about a duplicate charge" and the index returns the matching turns across thousands of conversations, speaker-labeled, timestamped, and already redacted, ready for QA, insights, and handoff.

Meaning-matched, not keyword-matched.

Semantic retrieval

Natural-language queries run against the vector index and rank transcript snippets by relevance, highlighting the spans that matched. The same retrieval powers agent grounding, so a live agent can pull the exact prior moment mid-conversation.

100%

archive coverage

155+

locales indexed

Semantic searchvector · top-k

frustrated about a duplicate charge3 hits

Customer · 00:120.94

My card was charged twice this month and I'm honestly pretty frustrated about it.

Customer · 01:480.88

I see the same amount billed on two dates, this keeps happening.

Agent · 02:030.81

I understand the duplicate charge is upsetting, refunding it right now.

"Every call is transcribed, diarized, and redacted in real time, and it's all searchable. We went from auditing a 2% sample to seeing the entire record, in 155 languages, with zero PII leaking into storage."

Director, Quality & Compliance

Global BPO · 4,200 agents

Proof

The whole record, not a sample, in real time.

Streaming ASR, speaker diarization, and in-flight PII redaction turn every conversation into structured, searchable data the instant it's spoken, across every locale your customers speak.

coverage transcribed

locales searchable

Why it matters

Clean data is the whole game.

Total coverage

Every conversation is transcribed and scored, not a 2% sample, so QA, compliance, and insight run on the full record instead of guesswork.

Real-time substrate

Sub-500ms streaming means transcripts feed live agents, alerts, and handoff while the conversation is still happening, not minutes later.

Pipes everywhere

Structured, redacted records stream over REST to 170+ connectors, so the substrate lands in the warehouse your agents and analytics already use.

Pipes into your stack

170+ connectors. Transcripts land where your data already lives.

FAQ

Transcription, answered.

Sub-500ms, p95 first token around 418ms, with word-level timestamps. Streaming ASR emits text as it's spoken, so live agents, alerts, and handoff act on the conversation while it's still happening rather than after it ends.

Diarization segments the audio into speaker turns and labels them Customer or Agent automatically, no separate channels required. Each turn carries a speaker tag and confidence score, so transcripts read cleanly and analytics can pivot by speaker, talk-time, and interruptions.

Yes. PII redaction and PCI masking run in-flight: card numbers, SSNs, names, account IDs and similar fields are detected and masked in the stream before the transcript is written to durable storage. The policy engine is language-agnostic across all 155+ locales.

Every transcript is embedded into vectors and indexed, so the archive supports semantic search, query by meaning and get back ranked, speaker-labeled, already-redacted snippets across thousands of conversations. The same retrieval grounds live agents mid-call.

Structured, redacted records export over a REST API and 170+ native connectors to Snowflake, Databricks, BigQuery, Redshift and BI tools, in real time or batch. The same stream powers QA scoring, insights, and pre-transfer handoff summaries.

See it live