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AI INSIGHTS PLATFORM

Your customer intelligence, one message away.

Alchemic stitches every interview, survey, support ticket and immersion into one continuously-learning intelligence layer. Ask in plain English from Slack, Teams or WhatsApp — Alchemic combs through your customer history and answers with cited evidence in seconds. No dashboard to log in to.

One question100,000 + data points30 seconds

#brand-insights24 members
Rohit Sharma11:41 AM

Bloomwell is making waves in hair gummies. Who’s their core buyer and what are their strengths and weaknesses?

Alchemic
Alchemic
APP11:42 AM

On it — pulling from all your customer intelligence sources. Back soon!

Alchemic
APP11:42 AM

Bloomwell's edge is brand trust + ingredient transparency. Their gap is distribution + price. Core buyer is the urban Curious Convert.

AI INTERVIEWBrand Equity Wave Q3
WHATSAPP CHATLive CX Pulse
DATA UPLOADHair-Gummy Immersion
📎 3 sources · 165,000+ data pointsDrill into Curious ConvertCompare to NutraBrightShare to #brand-team
@alchemic Bloomwell is making waves in hair gummies. Who’s their core buyer and what are their strengths and weaknesses?

Trusted by brand and insights teams at

Razorpay
Urban Company
CaratLane
Unilever
Mars
Dr. Reddy's
Sleepwell
Blackberrys
Razorpay
Urban Company
CaratLane
Unilever
Mars
Dr. Reddy's
Sleepwell
Blackberrys

Your customer signal lives in eight different tools. None of them talk to each other.

When a marketer needs an answer about a brand, a buyer, or a category, they spend a week chasing it. Last quarter’s brand-equity wave is in one dashboard. Live customer feedback is in Zendesk and Gainsight. Open-ended NPS sits in Looker. The deep ethnographic immersion you commissioned six months ago is a 60-page PDF in someone’s inbox.

The signal exists. The synthesis is missing — and synthesis is the actual work.

The solution

Ask in plain English. Get a cited answer.

Marketers and product managers tag @Alchemic — in Slack, Microsoft Teams, or WhatsApp — and ask the way they'd ask a colleague: "who's our churn driver this quarter?", "what do parents say about our subscription?", "is Bloomwell a real threat?". Alchemic decides which sources to use, runs the reasoning across hundreds of thousands of data points, and replies in 30 seconds. Every claim cites the studies, quotes, and respondent counts behind it.

Churn is concentrated in month 2 post-purchase — 62% of exits cite “didn’t see value”. ↗ 3 studies · 1,240 respondents

Brand equity Q3NPS open-endsExit survey

Every signal, one knowledge base.

Past Alchemic studies, live CX channels, uploaded research from any tool — all stitched into one continuously-learning intelligence layer. The platform doesn't reset between questions. Your category vocabulary, brand context, and segment history persist across studies and compound over time. Every answer gets sharper than the last.

Built for business users, not just analysts.

No SQL. No new dashboard tab to learn. No "prompt engineering". Marketers, product managers, brand teams, and CX leaders ask in their own words and get answers they can drop into a deck or share with their team — same hour. The intelligence layer adapts to how they work, not the other way round.

Before

ZendeskLookerDeckAnalyst3 days

With Alchemic

@Alchemic what’s our…30 sec

How it works

From question to cited answer in 30 seconds.

Step 1

Connect your sources.

Your existing Alchemic studies plug in instantly. Add CX channels, upload past research files (PDFs, decks, transcripts) — every source becomes a live, searchable layer of the intelligence base.

Step 2

Ask from Slack, Teams, or WhatsApp.

Tag @Alchemic from any messaging surface — Slack, Microsoft Teams, or WhatsApp — and ask in plain English. No dashboard, no new login. Alchemic decides which sources to pull from, reasons across them, and replies with cited evidence in 30 seconds.

Step 3

Drill, share, build on it.

Click any cited claim to see the underlying respondents, quotes, and voice clips. Share the answer to a brand-team channel. Ask a follow-up. Each question makes the next answer sharper.