Research Intelligence Platform

HEXTA
RESEARCH

Your research cockpit.

Ingest thousands of audio interactions and turn raw conversations into searchable, audit-ready insights. Conversation intelligence at scale, accurate transcription, instant translation, and AI chat across your entire audio corpus.

12.4k ingested 14 languages Sentiment ready Audit immutable Caller complaints
Ingest
Transcribe
Analyze
Chat
Export
Conversation Intelligence Audit-Ready by Design Multilingual Transcription Sentiment Analysis AI Chat with Audio Intent Extraction Dynamic Dashboards Enterprise Scale
The Problem

Manual analysis is
breaking research at scale.

0%

Of audio goes unanalysed

Most research teams analyse less than 6% of collected audio due to manual transcription and review bottlenecks, the rest is discarded or ignored.

0wk

Average time to insight

Large-scale qualitative studies take 4–8 weeks from field to boardroom when done manually. Clients can't act on insights that arrive months late.

100%

Audit-readiness at manual scale

Manual transcript editing, reordering, and annotation creates defensibility gaps, there's no clean chain from insight to source audio.

Core Capabilities

Everything your research
team needs, in one cockpit.

Six purpose-built capability blocks designed for teams that need speed without sacrificing defensibility.

💬

AI Chat With Your Audios

Ask questions, get answers, and jump to supporting clips. Interact with your corpus as if you were talking to a researcher who has heard every recording.

  • Natural language queries across thousands of recordings
  • Click-to-clip: every answer links to the source timestamp
  • Multi-turn conversation with full corpus context
  • Cross-file theme synthesis in a single query
Answers in seconds, not weeks
🌐

Accurate Transcription & Translation

Precise transcripts in any language with one-click translations inside the same UI. No context switching, no lost nuance, no separate tool chain.

  • 30+ languages with speaker diarization
  • One-click translation without leaving the transcript view
  • Confidence scoring and manual correction layer
  • Batch transcription across thousands of files simultaneously
0% accuracy · 0+ languages
🧠

Deep Insight Extraction

Automatically surface sentiment, intent, themes, and anomalous feedback from single files or bulk sets of thousands, no manual coding required.

  • Sentiment and emotion tracking across the corpus
  • Automated theme clustering from open-ended responses
  • Intent classification tuned per research domain
  • Anomaly and outlier detection in large-scale data sets
Automated at corpus scale
🔐

Audit-Focused Navigation & Exports

Role-aware access, immutable logs, and context-preserving exports keep findings defensible and reviewable at every stage of the research lifecycle.

  • Role-based access: viewer, analyst, admin, auditor
  • Immutable decision log, every annotation and edit timestamped
  • Context-preserving exports: insight → quote → clip chain
  • Report packages with source audio attached as evidence
Audit-ready at every step
👥

Workspace Built for Teams

Project workspaces, metadata tagging, fast filters, and collaborative notes keep studies organised and accessible across distributed teams.

  • Isolated project workspaces per study or client
  • Metadata tagging: geography, segment, language, wave
  • Fast full-text and semantic search across all transcripts
  • Collaborative annotation and shared note threads
Team-scale organisation
📊

Dynamic Dashboards & Reports

Real-time dashboards, custom reports, and exportable datasets that map every insight back to source audio, always traceable, always shareable.

  • Real-time sentiment and theme dashboards
  • Custom report builder with client-ready templates
  • Exportable structured datasets (CSV, JSON, XLSX)
  • Every chart point links back to the source recording
Source-traceable insights
Audit-Ready at Every Step

From audio
to evidence.

Every stage of the pipeline is logged, traceable, and reversible. Research findings stay defensible from first upload to final board report.

01 · Ingest
Upload
Stream or upload any audio, field recordings, call archives, CATI recordings, focus group audio
02 · Process
Transcribe
Precision transcription with speaker IDs in 30+ languages, confidence scoring included
03 · Intelligence
Analyze
Sentiment, themes, intent, and anomaly detection at corpus level, automated, not sampled
AI Core
04 · Interact
Chat
Ask questions in natural language, get clip-referenced answers from across your data
05 · Deliver
Export
Audit-traceable reports, dashboards, and structured datasets with source audio links
AI Chat · Market Research Study
LIVE
What were the top three complaints about the new packaging across all recordings?
Analyst · Research Workspace
Across 847 recordings, the top complaints were: (1) "too hard to open", mentioned in 34% of responses, (2) "not resealable", 28%, and (3) "plastic feels cheap", 19%. Strongest signal from the 35–50 age group in all three markets.
Research AI · 847 recordings analysed
Is this complaint pattern consistent across all three markets or does one stand out?
Germany shows significantly higher frustration with the opening mechanism (61% vs 34% global average). India responses skew toward the "feel" complaint (38%). The UK is closest to the global average across all three issues.
Research AI · Cross-market analysis complete
0
Recordings analysed
0
Markets
0
Languages
0%
Accuracy
What you can ask
Every answer is traceable

Every insight links directly to the source recording and timestamp. Your findings are defensible from first upload to final client presentation.

Evidence chain intact

Every export links insight, quote, and clip back to source audio.

  • Immutable audit log on every action
  • Board-ready PDF, CSV, and JSON exports
Audio Transcript Insight Clip Export
Onboarding

From study brief to
first insights in hours.

No six-week setup. Upload your first batch of recordings and the platform is analysing within minutes.

01

Configure Workspace

Create a project workspace, define metadata fields (market, segment, wave, language), and set role-based access for your team and clients.

Day 1 · Under 1hr
02

Upload & Ingest

Drag and drop audio files or connect your recording system. Transcription and analysis begin immediately, thousands of files processed in parallel.

Day 1 · Minutes per batch
03

Chat & Analyse

Start asking questions of your corpus. Annotate transcripts, tag themes, and build your insight structure as the AI surfaces patterns automatically.

Ongoing · Real-time
04

Report & Export

Generate client-ready dashboards, export structured datasets, and package findings with source audio clips, all with a complete audit trail.

Any point · Minutes
0k+
Concurrent recordings processed in a single session
0%
Transcription accuracy across 30+ languages
0min
Average time from upload to first AI-generated insight
0%
Audit-traceable insight chain from finding to source clip
Why It Matters

Speed meets
governance.

Skip the Manual Grind

Analyse thousands of recordings at once and surface answers in minutes, not weeks. No more sample-and-hope methodology, analyse the full corpus every time.

🛡️

Defensible at Enterprise Scale

Speed and accuracy backed by governance, every insight traceable to source audio and decision history. Present findings to any board or regulator with confidence.

🌐

True Multilingual Depth

Analyse multilingual corpora without translation delays or nuance loss. Sentiment and intent are extracted in the native language before translation, preserving accuracy.

🔬

Research-Grade Precision

Built specifically for research workflows, not repurposed call-centre software. Every feature is designed around how researchers actually work, from fieldwork to final report.

Who Uses It

Built for teams that
can't afford to miss a signal.

Market Research Teams

Large multilingual studies, intent-based surveys, and defensible outputs for brands, government, and academia.

  • Qualitative studies at scale
  • Concept and packaging testing
  • Tracking studies across waves and markets
  • Government and academic research
Research & Insights

Contact Centers & CX

Analyse millions of interactions to uncover trends, recurring issues, and hidden opportunities buried in call archives.

  • Voice of customer analysis at scale
  • Complaint pattern identification
  • Churn risk signal extraction
  • NPS and CSAT driver analysis
CX & Operations

Compliance & Audit Teams

Immutable logs, role-aware access, and structured exports designed to meet the governance demands of regulated industries.

  • Regulatory call monitoring
  • Complaint investigation and escalation
  • Evidence packaging for disputes
  • Cross-border compliance audits
Risk & Compliance
Governance & Security

Audit-ready
by design.

Every finding is traceable. Every action is logged. Every export is reproducible. Hexta Research is built for the governance requirements of regulated research environments.

  • Role-based access control: viewer, analyst, admin, and auditor roles with granular permissions
  • Immutable audit log, every annotation, edit, export, and login is timestamped and locked
  • Context-preserving exports: every report includes the insight → quote → clip traceability chain
  • Data residency options for India, EU, and US to meet cross-border compliance requirements
  • Zero shared training, your research data is never used to train or improve shared models
🔒

Immutable Logs

Every action timestamped and cryptographically locked, no retroactive editing

👤

Role-Aware Access

Granular permissions from field team to client review to regulator access

🌍

Data Residency

India, EU, and US residency options for cross-border research compliance

🛡️

Zero Shared Training

Your data never touches shared model training pipelines, ever

🔗

Context-Preserving Exports

Every report includes the full insight, quote, and clip traceability chain from finding back to source audio. Immutable logs and compliance-grade exports, ready for board and regulator review.

Your Corpus
Has Answers.
Ask Them.

Book a live demo and see Hexta Research working on your own audio data, 30 minutes to your first insight.