Active engagements
99.9%
Uptime
2.4×
Velocity lift
0
Data loss
+340%
Business Intelligence

Dashboards your CEO actually opens.

Not 40 tabs of charts. Five questions, answered, updated hourly.

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Who
Who this is for

Who this is for.

If any of these sound like you, we should talk.
01

Indian businesses who need business intelligence built for their real operational constraints.

Fits you
02

Teams who’ve tried off-the-shelf business intelligence tools and hit ceilings within 6 months.

Fits you
03

Founders who want an engineering partner, not a vendor.

Fits you
04

Established enterprises modernising legacy business intelligence systems.

Fits you
Data Engineering
The proof

How we structure business intelligence projects.

LAYER 1
Foundation
Infrastructure, observability, security baked into day-one architecture.
LAYER 2
Capability layer
Core features your team uses daily. Built iteratively, validated weekly.
LAYER 3
Operations
Monitoring, on-call runbooks, upgrade paths. How it runs in year two.
What we build

Modules we ship.

04capabilities in this service
01

Dashboard design

Dashboard design integrated into your operations, not bolted on.

02

Metrics definition

Metrics definition integrated into your operations, not bolted on.

03

Semantic layer

Semantic layer integrated into your operations, not bolted on.

04

Self-service BI

Self-service BI integrated into your operations, not bolted on.

Case studyNo. 004
ClientAn enterprise clientEnterprise

Weekly Monday review used to take <em>3 hours</em>. Now it’s 20 minutes.

Redesigned BI for a 140-person SaaS. Weekly metrics review time dropped dramatically.

01
99.9%
Uptime
02
40%
Cost reduction
03
2.4x
Velocity improvement
04
0
Data loss incidents
What it's like working with us
They didn’t try to sell us the biggest solution. They sold us the right one. That’s rare.
RV
Rajiv V.
VP Engineering · An enterprise client
Data Engineering · India
Tech stack

The tools. Chosen for your reasons.

06technologies in rotation
01Metabase
02Looker
03Tableau
04Power BI
05Preset
06Cube.js
Process

How we actually work.

06 stages
  1. 01

    Discovery

    Weeks 1-2

    Current state, pain points, constraints.

  2. 02

    Architecture

    Weeks 2-4

    Blueprint for what’s being built.

  3. 03

    Core build

    Weeks 4-10

    Foundation modules, tested.

  4. 04

    Integration

    Weeks 10-12

    Connect to your existing systems.

  5. 05

    Rollout

    Weeks 12-16

    Phased deployment, training.

  6. 06

    Operate

    Week 16+

    Monitoring, improvements, retainer.

Questions

Answers, without the fluff.

Still have questions? Talk to us — we answer within a business day.

04common questions
01How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
02Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
03Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
04What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
More in Data Engineering02 / 02
Up next
Stop making <em>decisions from a day-old spreadsheet</em>.
PreviouslyStop making <em>decisions from a day-old spreadsheet</em>.
Related

Explore more of what we do.

Scope a real project.

Business Intelligence built properly.

A 30-minute call. No sales deck. Specific answers to specific questions.

Your email
NDA available.