Data & analytics services

From messy data to decisions, built by a senior team

We design, build, and run the data and analytics work your team does not have time for, from strategy and pipelines to dashboards and custom data agents.

Senior-only team · Fixed scope & price · Tool-agnostic · No obligation

Engagement roadmapOn track
01
Audit
Stack & goals mapped
Done
02
Plan
Roadmap & fixed scope
Done
03
Build
Pipelines & dashboards
In progress
04
Scale
Handoff or embed
Upcoming
Days
to kickoff
Weeks
to first delivery
Fixed
scope & price

Trusted by data teams at scaling companies

Mercy
Gladia
Poppins
BeSimple
Alt
Handshake
Raft
Vapi
Junction
Maximus
Mercy
Gladia
Poppins
BeSimple
Alt
Handshake
Raft
Vapi
Junction
Maximus
Mercy
Gladia
Poppins
BeSimple
Alt
Handshake
Raft
Vapi
Junction
Maximus
Mercy
Gladia
Poppins
BeSimple
Alt
Handshake
Raft
Vapi
Junction
Maximus

When teams bring us in

If any of this sounds familiar, we can help

Most engagements start because something is stuck. These are the moments teams reach out.

Your data lives in too many tools and nobody fully trusts the numbers.

You need dashboards or reporting, but the team is at capacity.

Leadership wants AI, and you need a clear, safe path to get there.

Every metric means something different in every meeting.

Your warehouse bill keeps climbing and no one can explain why.

A migration or new stack is overdue, and doing it wrong feels risky.

You are hiring for data roles you cannot fill fast enough.

You have plenty of data, but very little of it turns into decisions.

What we do

Wide-ranging data and analytics, one senior team

Whether you need a single dashboard or a full platform rebuild, we cover the whole stack so you do not have to coordinate five vendors.

01

Data strategy & advisory

Know what to build, in what order, and why, before anyone writes a line of code.

  • Data strategy & roadmap
  • Maturity & readiness assessment
  • Data audit & health check
  • Data readiness for AI
  • Tooling & vendor selection
  • Fractional Head of Data / CDO
02

Data engineering & platform

A modern, reliable foundation that scales with you instead of fighting you.

  • Modern data stack setup
  • Warehouse & lakehouse (Snowflake, BigQuery, Databricks)
  • ELT / ETL pipelines & ingestion
  • Analytics engineering (dbt)
  • Cloud migration & modernization
  • Real-time & streaming
  • Reverse ETL & data activation
  • Warehouse cost optimization
03

Analytics, BI & visualization

Dashboards and metrics your whole company actually understands and uses.

  • BI dashboards & reporting (Looker, Power BI, Tableau)
  • KPI & metric framework design
  • Self-serve analytics enablement
  • Embedded analytics
  • Product, marketing & finance analytics
  • Customer analytics (churn, LTV, segmentation)
  • Web & marketing analytics (GA4)
04

Data agents & automation

Put your data to work for the business, from custom data agents to scheduled reporting.

  • Custom data agents grounded in your data
  • Conversational analytics ("talk to your data")
  • Automated reporting, digests & alerts
  • KPI & metric monitoring
  • Slack, email & in-app delivery
05

Governance, quality & compliance

Trustworthy, well-governed data that holds up to scrutiny and audits.

  • Data governance frameworks
  • Data quality & observability
  • Master data management
  • Catalog, lineage & metadata
  • Security & access control
06

Data teams & enablement

Extra senior firepower when you need it, and a team that can run it after we leave.

  • Fractional & embedded data teams
  • Staff augmentation
  • Team & process design
  • Data literacy training
  • Tool-specific training
  • Ongoing managed support

How we work

A clear path, from audit to handoff

No drawn-out discovery decks. We move from understanding to shipping quickly, and you see progress every week.

01Week 1

Audit

We map your stack, data, and goals, then pinpoint the highest-leverage work to do first.

02Week 1-2

Plan

You get a prioritized roadmap with clear scope, timeline, and fixed pricing. No surprises.

03Ongoing

Build

Senior engineers ship in tight sprints, with working output you can review every week.

04Ongoing

Scale

We harden, document, and hand off, or stay embedded to keep raising the bar.

Ways to work together

Start small, scale when it works

Most teams begin with a free audit, then move into a fixed-scope sprint or an embedded retainer. You are never locked in.

Data audit

Free

A no-obligation review of your stack, data, and goals.

  • 30 to 60 minute working session
  • Prioritized opportunity list
  • Clear, actionable next steps
  • No commitment to go further
Book the audit
Most common

Fixed-scope sprint

Fixed price

A defined deliverable, fixed price, fixed timeline.

  • Scoped from the audit findings
  • Working result in weeks, not quarters
  • Weekly check-ins and demos
  • No open-ended scope creep
Scope a sprint

Embedded & retainer

Monthly

A senior data team plugged into yours, month to month.

  • Dedicated senior capacity
  • Flexible focus as priorities shift
  • Builds your internal capability
  • Scale up or down as you need
Talk to us

Why teams choose us

A boutique team with a platform behind it

You get the speed and senior attention of a specialist shop, plus the leverage of the data tooling we build ourselves.

Senior, hands-on team

You work with the people doing the work, not a rotating bench of juniors.

Deep data expertise

We build data infrastructure for a living. You get specialists who have solved this before.

Fixed scope, fixed price

Clear deliverables and timelines. No open-ended retainers unless you decide you want one.

Tool-agnostic

Snowflake, BigQuery, Databricks, dbt, Looker, Power BI. We meet your stack where it is.

Built to hand off

You keep the documentation, tests, and a team that can run it. Capability, not dependency.

Governed and secure

SOC 2 and HIPAA-aligned practices, with access and privacy controls in place from day one.

Who you work with

The team behind ktx, working on your data

We built ktx, the open-source context layer used by data teams. The same people who build our tools deliver your engagements.

Luca Martial

Luca Martial

Co-Founder & CEO

Former data scientist and NLP engineer focused on enterprise data systems, agent reliability, and AI safety.

Andrey Avtomonov

Andrey Avtomonov

Co-Founder & CTO

Former AI CTO with 15+ years across data engineering, analytics platforms, and production AI systems.

FAQ

Common questions

Most things across the data lifecycle: strategy and roadmaps, data engineering and pipelines, warehouse and platform builds, BI and dashboards, governance and quality, and custom data agents grounded in your data. We focus on data and analytics work, not building machine-learning models from scratch. The free data audit is the easiest way to confirm fit.

With a free data audit. We spend 30 to 60 minutes reviewing your stack, data, and goals, then send back a prioritized list of opportunities and clear next steps. There is no obligation to go further, and many teams use the audit on its own to get unstuck.

Wherever we can, we work on a fixed scope and a fixed price so you know the cost up front and avoid open-ended bills. Ongoing or embedded work runs as a monthly retainer. We scope pricing from the audit findings, not from a generic rate card.

We are tool-agnostic and meet your stack where it is: Snowflake, BigQuery, Databricks, Redshift, dbt, Fivetran, Airbyte, Looker, Power BI, Tableau, and more. You bring the stack you already have, and you are never required to adopt a specific vendor to work with us.

Yes. We can embed alongside your team, augment specific roles, or run a project end to end. A core part of how we work is leaving you with documentation, tests, and the ability to run things yourself. We build capability, not dependency.

You get a senior, hands-on team instead of a rotating bench of juniors, fixed scope and pricing instead of open-ended billing, and modern-stack speed instead of process overhead. We also build on our own platform, so a lot of foundational work is faster and stays governed.

No. The services work with your existing stack and stay tool-agnostic. We are the team behind ktx, our open-source context layer, so we know it well if you want to use it, but adopting it or any other Kaelio product is always optional.

The audit can usually happen within days. Once scope is agreed, fixed-scope sprints are designed to produce a working result in weeks rather than quarters, with something to review every week.

Yes. We follow SOC 2 and HIPAA-aligned practices, with access controls, least-privilege permissions, and privacy safeguards in place from day one. We scope exactly which systems and fields we touch, and your data is never shared across clients.

Book a call · 30 min

Tell us what you are trying to do with data

Book a free call and we will review your stack and goals, then map the fastest path forward. If it is a fit, we will scope the work. If it is not, you still walk away with a clear plan.

  • A free, no-obligation 30-minute call
  • You leave with a prioritized list of next steps
  • Talk directly with senior data practitioners
SOC 2 practicesHIPAA-alignedNo obligation

Book your data strategy call

Tell us a little about your team and we will follow up to schedule a time.

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