DATA PIPELINES
IN PRODUCTION
BI, ETL, REAL-TIME, ML — UNDER ONE ROOF.
FIRST DASHBOARD
IN PRODUCTION
FASTER DECISIONS
FROM FRESH DATA
Numbers you can act on. Modern stack, sane defaults, dashboards that load fast.
Ruslan Krylov
Founder · krylov®
Modern data stack, sane defaults.
No vendor lock-in tax. Snowflake/BigQuery + dbt + Looker/Metabase. Or whatever your team already loves.
Warehouse
Snowflake, BigQuery or Redshift — we pick what matches your scale.
Transform
dbt for SQL-native transformations. Versioned, tested, documented.
Visualize
Looker, Metabase or Hex. Dashboards your team will actually use.
Activate
Reverse-ETL to Salesforce, HubSpot or product. Data that does work.
Built on pipelines that actually run.
Daily rows processed across client warehouses
Dashboards delivered in the last 12 months
FROM RAW LOGS TO BOARD-READY METRICS
End-to-end ownership. Ingestion, modeling, dashboards, ML inference — the whole pipeline.
Talk to us
Executive dashboards, KPI trees, cohort tables. The numbers leadership actually opens on Monday.
Stripe, Salesforce, PostgreSQL, Mixpanel — every source into the warehouse, modeled and tested.
Dashboards that earned their seat.
From scattered CSVs to single source of truth. Each of these teams replaced spreadsheet rituals with always-fresh dashboards.
Parsewise: half the parsing cost
50% lower cost, 4× throughput, 12M pages processed in Q1 after rollout.
RLC Logistics: +30% fleet utilization
Dispatch automation, smart routing, +30% utilization across 220 vehicles.
More analytics work shipped.
Not every project is a flagship. B2B SaaS, marketplaces, healthtech — the pipelines that run quietly every morning.
MANIFESTO
Numbers that survive contact with leadership questions. Dashboards built for decisions, not vanity.
Analytics engineers who ship.
Senior dbt, senior SQL. No interns querying production. Each engineer has scaled at least one warehouse past 1B rows/day.
- Architecture & systems design
- Code review & mentoring
- Production reliability
- Interaction & flow design
- Design systems
- User research
- Eval suites & monitoring
- LLM & agent integrations
- API & data plumbing
- Project coordination
- Technical documentation
- Stakeholder updates
Notes from teams who saw the numbers move.
Real talk from data leaders. What changed when the dashboards finally became trustworthy.
· Parsewise®
They rebuilt our entire platform in 4 months. Performance improved 3×, and the codebase is finally something our team can maintain on their own.
· Wishboard®
From zero to 50k users in 6 months. The team handled everything — design, development, and launch marketing.
· RLC®
We needed 5 senior engineers fast. They embedded with our team and shipped features alongside our full-timers.
· Blured®
The agent they built handles 70% of our support tickets. Response time dropped from hours to seconds.
Before we wire up your warehouse — the questions teams ask.
Three weeks for an MVP dashboard against one source. Full multi-source build usually 6–10 weeks.
Stop guessing. Start measuring.
First dashboard in three weeks. We audit your sources, model the metrics, and ship a usable dashboard before the first invoice.
Book a call
A 30-minute call to map the brief, your deadline, and what would actually move the needle.
/02Get an offer
Written estimate within 48 hours — scope, team, milestones and a fixed price you can sign off on.
/03Pay & start
Sign the SOW, pay the first milestone, kick off the same week. No multi-month onboarding theatre.
/04Dashboard in 2 weeks
First working sprint goes live in 14 days — real demo on a staging URL you can hand to customers.