Seak and you shall train

Primary data production to fuel frontier AI.

We don’t scrape the internet. We capture complex multi-modal human interactions live, fully instrumented, and structured for frontier post-training.

Powered by Askable —  a decade of audited, multi-modal human-behaviour research.
01 — EXTRACTED, NOT SCRAPED

The OG intelligence source — humans.

Every sample is recorded in collaboration with a verified, paid, consenting user. We've been refining and protecting our network of real humans for 8 years, not 8 weeks.

02 — MULTIMODAL BY DEFAULT

Screen, voice, click, ponder.

Most data is internet exhaust. Real work isn't. We capture the whole signal — journeys, hesitations, voiced reasoning, screen state, rage — because that's where judgement actually lives.

03 — FRONTIER-LAB GRADE

Built for the labs that ship to billions.

Schema and review pipelines designed in conversation with frontier teams. Granular consent, attribution chains, audit trails. Ready to plug into the workflows that actually train models.

THE METHOD

Deep human experience, refined into post-training fuel.

The hard part of training a useful model isn’t compute — it’s the quality of the human signal underneath. Most teams are reaching for the same exhausted public corpora, then layering paid annotators on top.

We work the other way around. We start with the raw practice of expert work — a surgeon talking through a diagnosis, an engineer narrating a debug session — and refine it into structured samples that preserve reasoning, modality, and context.

Same shape as a production pipeline: capture, instrumentation, delivery. Raw expert work in, schema-conformant training material out.

THE STAGES
Stage 01 — Production

Sessions, with experts, in their actual environment.

Verified domain experts, doing the work they'd be doing anyway, in the tools they already use. Software, peripherals, voice, screen, artefacts, all captured. No simulated tasks. No synthetic prompts. No stand-ins.

Stage 02 — Instrumentation

Every action timestamped, every modality aligned.

Captured as structured signal from the moment the session starts. Millisecond timing across modalities. Transcription, alignment, decision-point tagging, expert reasoning, all enriched in the same pipeline. Provenance built in. Consent verified per participant, per session, per use.

Stage 03 — Delivery

Structured, schema-conformant, ingestion-ready.

We schema to the partner lab's pipeline, not to a generic format. Sessions arrive ready for direct ingestion, full provenance, expert attribution, trajectory data shaped the way post-training actually needs it. No reformatting. No second-pass cleanup.

THE LIBRARY

A snapshot of the data we architect & engineer from the ground up.

Post-Training Data
62 SAMPLES · CUSTOM DATA PRODUCTION
Hover a card to reveal its category. Click any sample for the full session record.
SECURITY POSTURE · 06

Operated by Askable. Audited to the standards your security review expects.

Askable Labs runs on the same audited production platform as Askable. Controls live in code, not in process. Recruitment, consent, capture, tagging, review, and delivery are system calls, not procedures — no spreadsheet, no shared drive, no manual chain of custody.

Askable has operated since 2017, runs an Integrated Management System (IMS), and holds eight independent certifications — ISO/IEC 27001, 27701, and 42001, SOC 2 Type II, GDPR, CCPA, UK Cyber Essentials, and Wiz Cloud Security Excellence.

Active attestations & compliance8 frameworks · 97 controls · audited end-to-end

All certifications held by Askable, the parent platform — and apply directly to Askable Labs. SOC 2 report and penetration test summary available under MNDA.

Open the Trust Center

A production platform, not a services team.

Askable has run since 2017 as a SaaS platform for user research, trusted by over 3,000 clients including teams in banking and health insurance. Every step of a session — recruiting a practitioner, capturing their consent, ingesting the session, tagging the fragments, reviewing the output, delivering the batch — is a system call against that audited platform.

In a services model, each of those steps is a person with a laptop. The system is whoever is most careful that day. In our model, the system is the system.

Same moat as our speed and our quality. Productisation is what makes each of these things hold up at scale, and what makes them hold up under audit.
Session lifecycle — platform-enforcedlive, audited
01
Recruit
identity-verified panel
02
Consent
brief-specific, versioned
03
Capture
encrypted, tenant-isolated
04
Review
role-scoped, logged
05
Deliver
partner-side audit trail
0 manual handoffs0 Sheets / Drive in path100% controls in code
SECURITY DETAIL · certificate scopes, data lifecycle, subprocessors, contactOpen the security page →
PARTNER WITH THE LAB

If you’re training the next generation of models, train it with human jet fuel.

We work directly with a small number of frontier labs and applied teams. Bespoke capture briefs, schema co-design, exclusive batches.