Now accepting pilot applications

Your 24/7
Agentic Analyst

Ask any business question. Get an answer backed by your analytics, your code, and your user feedback — in seconds, not days.

8 min
from signal to action
3 data layers
code · analytics · feedback
0 analysts
blocked by the queue
Analyst queue: 12 requests waiting
Checkout conversion dropped 18% overnight
Q1 revenue miss — no one knows why
Feedback spike: 47 complaints in 48 hours
New release broke tracking on 3 flows
PM waiting 6 days for a dashboard
Data in 5 tools, insight in none
Analyst queue: 12 requests waiting
Checkout conversion dropped 18% overnight
Q1 revenue miss — no one knows why
Feedback spike: 47 complaints in 48 hours
New release broke tracking on 3 flows
PM waiting 6 days for a dashboard
Data in 5 tools, insight in none
Real answers, by role

Who asks. What they get.

12inf speaks the language of each decision-maker — from revenue leaks to product health to team capacity.

CEO / Founder

Revenue questions deserve instant answers

Stop waiting for weekly reviews. Ask about revenue, retention, or market trends and get an answer built from your own data — with evidence attached.

  • Spot revenue anomalies before they show up in the monthly report
  • Understand which products are losing margin and exactly why
  • See the chain from user behavior → feature → business outcome
  • Make board presentations with data you actually trust
12inf · CEO workspace
A
Revenue dropped in February. What happened?
AI
February revenue was −18% MoM. Root cause is Product B — winter logistics margin compression. Here's the breakdown:
REVENUE IMPACT Feb 1–28 vs Jan
Product B margin−34% (courier costs ↑)
Delivery complaints+142 tickets
Repeat purchase rate4.1% → 2.8%
Jan same period+6% normal
A
Is this structural or seasonal?
AI
Seasonal. Same pattern in Feb 2023 (−12%). But this year it's sharper because Product B now represents 38% of revenue vs 21% last year. Recommend: winter pricing adjustment or courier contract renegotiation before next January.
Product Manager

Stop waiting in the analyst queue

You have the instinct. Now you have the data to back it up — without filing a request and waiting six days for a table with no context.

  • Instantly cross-reference user complaints with drop in metrics
  • Find out exactly which release caused a conversion change
  • Validate hypotheses before taking them to engineering
  • Get a complete brief for sprint planning in one question
12inf · PM workspace
M
Checkout conversion tanked this week. What's going on?
AI
Conversion dropped from 4.1% → 3.2% starting Tuesday 18:00. Three signals converged:
CONVERGENCE ALERT
checkout_error events+340% spike
Support tickets12 in 48h "can't pay"
Reddit posts4 complaints this week
Code location/checkout/payment
Release v2.4.1 deployed Tuesday 17:45 touched this file. Likely cause.
CMO / Growth

Know which channel actually drives retention

CAC is only half the story. Connect acquisition source to product behavior and long-term value — without waiting for a custom attribution report.

  • See which campaign cohorts have the best 30-day retention
  • Detect when a landing page change kills downstream conversion
  • Surface user feedback clusters by acquisition channel
  • Stop optimizing for clicks that churn in week two
12inf · Growth workspace
K
We spent $40k on Meta this month. Did it actually work?
AI
Surface numbers look good, but the retention story is different:
RETENTION RISK
Meta cohort D7 retention11% (avg 24%)
Meta cohort → checkout2.1% (avg 4.2%)
Top feedback theme"product not as shown"
Effective LTV$18 (target $45)
K
Which channel actually has the best LTV?
AI
SEO organic cohort: D30 retention 41%, LTV $67. They spend 3× more time in onboarding and have 60% lower refund rate. Worth a budget reallocation conversation.
Engineering Lead

Find dead code before it finds you

12inf scans your codebase and cross-references with actual event firing data. Spot stale tracking, coverage gaps, and instrumentation debt before it becomes a data integrity crisis.

  • Audit every analytics call against what actually fires in production
  • Find undocumented events and mismatched property schemas
  • Know which routes have zero observability coverage
  • Get an instrumentation health score before every release
12inf · Engineering workspace
D
What's our tracking health before the v3 release?
AI
Coverage score: 61/100. Key issues blocking release confidence:
AUDIT REPORT
Dead tracking calls14 events never fire
Schema mismatches7 properties wrong type
Uncovered routes/settings/*, /onboarding/step3
New in v33 routes with zero events
How it works

Three layers. One answer.

01
⚡

Connect your stack

Plug in Amplitude, your codebase, and feedback channels (Intercom, App Store, Zendesk). Takes 20 minutes. No data migration.

02
🧠

Agent builds context

12inf scans your code for tracking coverage, syncs event streams, clusters feedback — and builds a living knowledge map of your product.

03
🎯

Ask anything, get evidence

Every answer comes with sources: which events fired, what users said, where in the code. Not a summary — an investigation.

Why now

The analyst bottleneck is a structural problem

Every product team we interviewed has the same story: analytics tools exist, but no one has time to use them strategically. Ad-hoc requests flood the analyst queue. Discovery gets deprioritized. Decisions get made on gut feel.

12inf doesn't replace your analytics stack — it makes it accessible to every decision-maker, all the time.

6–8
days avg wait for analytics request
8 min
same answer with 12inf

"We have Amplitude, but no one has time to actually use it for discovery. The analyst queue is always 10+ requests deep. This would be a pocket analyst for the whole product team."

S
Product Lead
Top 5 e-commerce platform · Russia
Team

Built by people who felt the problem

We spent years inside product and data organizations at scale — watching the same bottlenecks repeat. We're building the tool we wished existed.

Артемий Кузнецов
Artemy Kuznetsov
Co-Founder · CEO
Chief Data Officer at Netmonet. Analytics Lead at Ozon — top-3 marketplace in Eastern Europe by GMV. Started at McKinsey. Designed and built the core of 12inf.
Dima Yakovlev
Dima Yakovlev
Co-Founder · COO
Product Lead at Careem (Dubai), Avito, and Yandex. Earlier career in analytics and engineering at startups. Consultant at McKinsey.
Previously at
McKinsey
Careem
Yango
Ozon
Netmonet
Early Access

Be first.
Shape the product.

We're accepting a small cohort of pilot teams. You get early access, direct line to the founders, and pricing that won't change when we launch.

— or —

No spam. We'll only reach out when we're ready to onboard you.