CATI, without the call centre.
AI-moderated phone research at the scale of a call centre — in 6 Indian languages plus English. Research-grade probing on every call, live themes as interviews complete, and a dashboard that compounds across every wave you run.
Cross-platform overlap emerging as top churn driver in Tier 1 metros: Bengaluru, Hyderabad, Pune.
View →What made you cancel — was it price, content, or were you watching less than before?
Honestly content boring lagi. Plus Prime pehle se tha — overlap ho gaya.
Content fatigue surface story. Cross-platform overlap is the actual driver.
Content fatigue surface story. Cross-platform overlap is the actual driver.
trusted by insight teams across India
[ what makes us different ]
What makes Alchemic phone research different
Plenty of tools put a voice bot on a phone line. Here's what they don't do.
An AI that moderates, not just asks
CATI agents follow a script. Alchemic hears hesitation, catches contradictions mid-call, and probes the gap between what was said and what was meant — the same rigour on every call. Trained on your category, your brand context, and prior research — so it sounds like your moderator, not a generic chatbot.
Six Indian languages plus English, natively.
Hindi, Tamil, Telugu, Bengali, Marathi, Kannada — plus English (57 languages globally). Code-mixing handled the way real respondents speak, not a translation layer applying English probing rules to other languages. Respondents switch mid-call. The AI keeps pace.
Live themes as calls complete
Every call auto-codes into themes in real time. No post-fieldwork coding sprint. No analyst batch-processing transcripts. Your dashboard updates as the next interview is already running.
Hundreds of simultaneous calls
A CATI operation runs as many interviews as it has agents dialling. Alchemic has no such ceiling. Run hundreds of simultaneous calls without adding headcount, scheduling shifts, or managing a call centre.
Knowledge that compounds across waves
Each study runs against a knowledge base of past research, themes, and brand context. The AI doesn't reset between waves. Wave 3 probes with the sharper instincts of wave 1 and 2 combined.
[ analytics & reporting ]
What you get from every call
Running calls is half the job. Turning hundreds of conversations into a decision your team acts on by Monday is the other half.
Live reports
Auto-extracted themes, sentiment over time, quotes you can tag and pivot. Cut by geography, segment, or time window. Updates as calls complete.
Alerts
Slack, email, or webhook. Get pinged when a theme spikes, sentiment drops, a critical quote appears, or a quota fills. You don't monitor fieldwork — fieldwork monitors you.
Drill-down to the call
Theme → respondent → quote → audio moment. One click each. Every claim traced to exact words, at the exact second in the recording.
Cross-cuts
Pivot by segment, time, theme, or sentiment. Urban vs Tier 2. Promoters vs detractors. Week 1 vs week 4. All live.
Export & integrate
CSV, PDF, PPTX, Snowflake, BigQuery. Push to Slack, Notion, or your CRM via webhooks or Zapier. Reports land in the tool you already use.
“Honestly content boring lagi. Plus Prime pehle se tha — overlap ho gaya.”
[ the qualitative edge ]
Your insights compound.
Every study runs against a knowledge base that grows with each wave — past research, themes, brand context, respondent patterns. The AI doesn't reset between studies. Each round gets sharper than the last.
CATI starts cold every wave. Generic voice agents forget everything. Alchemic remembers — so your third study is sharper than your first.
[ use cases ]
Where phone research works best
CX and post-service feedback
Trigger an interview after a service call, delivery, or installation. Capture what the customer experienced while it's still fresh — with the depth of a real conversation, not a rating scale.
Tier 2/3 and low-digital segments
Phone reaches segments where web surveys underperform and WhatsApp adoption is inconsistent. Voice-first respondents in towns and smaller cities give richer data than forms.
Churn and win-back research
Respondents who won't fill a survey will take a phone call. Find out why customers cancelled, switched, or went quiet — while you still have a chance to act.
Brand and concept testing
Test positioning, copy, or new product concepts with voice-first respondents across India's cities and towns. Hear how they describe it, not just which option they ticked.
Employee and internal research
Exit interviews, pulse checks, and manager effectiveness — with the candour that voice gets and text surveys don't. Themes auto-code across hundreds of responses.
Compliance-required voice studies
Sectors with regulatory or audit requirements for voice consent or call recording. Every call recorded, searchable, and citable. Consent captured on the first turn.
[ why not cati? ]
How does AI phone research compare to CATI and voice agents?
Traditional CATI scales with agent headcount and starts cold every wave. Generic voice agents log answers without probing. Alchemic combines research-grade probing with operational scale, supports six Indian languages plus English natively (and 57 globally), and accumulates context across studies.
| Traditional CATI | Generic voice agent | Alchemic | |
|---|---|---|---|
| Probing quality | Bound by agent skill and script | Script-locked — no follow-up on weak answers | AI probes hesitation, contradiction, depth — every call |
| Scale | Capped by agent headcount | Scales, but without research depth | Hundreds simultaneously, with research-grade probing |
| Languages | Many, depends on staffing | English-first, limited Indian coverage | 6 Indian languages + English (57 globally), including code-mixing |
| Consistency across calls | Varies by agent and shift | Uniform but shallow | Uniform and rigorous |
| Insights delivery | Transcripts post-fieldwork, manual coding | Logs only — no theme extraction | Live themes and reports as calls complete |
| Knowledge accumulation | Starts cold each wave | Stateless — no memory between studies | Compounds — each wave builds on the last |
| Call recording & consent | Manual process, inconsistent | Varies by vendor | Built-in consent capture, every call recorded and searchable |
AI Phone Research fits best for:
- Large-sample CX deep-dives
- Churn and win-back diagnostics
- Post-purchase research
- Brand and concept testing
- Multilingual reach across Tier 1/2/3 India
- Audit-required voice studies
Where CATI may still win:
- Extremely rare languages we don’t yet support
- Very small specialised samples (n<20) needing bespoke one-off moderators
- Sensitive medical interviews requiring a live clinician
Prefer async text-based interviews? See Alchemic WhatsApp Interviews →
[ how it works ]
Brief to dashboard in three steps
Brief your study
Discussion guide, screener, quotas, language routing — all in the Alchemic builder. Brief to field in under an hour.
Calls go out automatically
Respondents receive a call. The AI introduces the study, captures consent, and begins the interview. No agent scheduling, no dropped calls to chase.
Themes build as calls complete
Every interview auto-codes into live reports. Themes, sentiment, quotes, and pivot cuts — all updating as fieldwork runs. Dashboard is live before fieldwork closes.
[ faq ]