Data-heavy SaaS
Building product analytics and customer-facing data features.
Big Data Analysis
Data platforms that scale with you.
Data warehousing, ETL pipelines, ML platforms, and analytics infrastructure — built on Snowflake, BigQuery, or your existing stack.
No commitment · 30 minutes · Real recommendations
production · ap-south-1
all systems operational
30-day uptime
99.99%
3 minor incidents · all under SLA
30-day window
30d agotoday
service health
- Web tier · CDN · ap-south-199.99%
- App tier · ECS Fargate99.97%
- DB · RDS Postgres + read replica99.99%
- Mail · SPF / DKIM / DMARCall valid
- Backups · last verified2 hrs ago
- SSL renewal · acme.weblink.io12 days left
live request latency · last 60 seconds
p50
42ms
p95
186ms
errors
0
What it is
From data swamp to data platform.
Most companies have data in 30+ tools and use 5% of it. We build the infrastructure that turns that into something usable — clean warehouses, reliable pipelines, governed access, and self-serve analytics.
Engagements range from "set up our first warehouse" to "rebuild a 5-year-old pipeline mess". We work in Snowflake, BigQuery, Redshift, and self-hosted Postgres depending on scale and policies.
Who it's for
Built for teams who need this done right.
Mid-market analytics teams
Modernizing analytics infrastructure.
ML-curious companies
Setting up the data foundation for ML.
What we build
Real work we've shipped.
Customer analytics platform
Customer-facing analytics built on Snowflake + dbt.
50M rows/daySnowflake migration
Migrated from Redshift; cut costs and improved query speed.
4x faster · 60% cheaperML feature store
Custom feature store for a 30-person ML team.
120 featuresOur process
From kick-off to live in weeks.
01
Discovery call
30 minutes. We map your current platform and identify the highest-leverage opportunities.
02
Scoped proposal
A written proposal with specific deliverables, timeline, and fixed pricing within 48 hours.
03
Build & test
We build in your environment, test thoroughly, and walk you through everything before going live.
04
Deploy & monitor
We deploy, train your team, and provide 30 days of monitoring and adjustments included.
Pricing
Transparent. Outcome-focused.
Starter
From ₹3,00,000
Single warehouse setup with basic pipelines.
- 1 deliverable scope
- Up to 5 connected tools
- Discovery + scoping
- Build, test, deploy
- 30 days monitoring
- Email support
Growth
From ₹10,00,000
Multi-source platform with dbt, governance, and analytics.
- Up to 5 deliverables
- Unlimited integrations
- Workshop + roadmap
- Dedicated engineer
- 90 days monitoring
- Slack-based priority support
Custom
Let's talk
Custom data platforms with ML and real-time capabilities.
- Unlimited scope
- Custom integrations
- Dedicated team
- Custom SLAs & uptime
- Quarterly architecture reviews
- 24/7 incident response
FAQ
Common questions.
Snowflake vs BigQuery?
Snowflake for cleaner separation of compute/storage and multi-cloud. BigQuery if you're already deep in Google. Either works for most use cases.
What about dbt?
Yes — dbt is our default for transforms. We also know Dataform if you're BigQuery-native.
Can you handle real-time?
Yes — Kafka, Kinesis, or Snowflake streams depending on stack.
Get started
Ready to start?
Tell us about your project. We'll come back with a fixed scope and timeline within 48 hours.
Pair with AI