Data-engineering, BI and workflow-automation capability for market-research, DaaS and analytics-BPO firms — a proven workflow-automation engine and the same engineering discipline we run against our own internal, live production data.
Book a PilotHand-rolled Python/SQL scripts or a commercial ETL tool, licensed BI seats that scale badly with analyst headcount (or none at all — analysts export to PPT), no data catalog so "which number is the truth" recurs every audit, and — since the DPDP Act reached full enforcement in 2026 — real consent and breach-notification obligations with no tooling behind them. This vertical has no physical-asset layer; the client's product is data movement, transformation and presentation.
Every engagement reinvents its own ETL/ELT rather than reusing a proven pipeline pattern.
Per-seat Power BI/Tableau licensing gets expensive fast as analyst headcount grows.
"Which number is the truth" recurs on every audit with no lineage trail to answer it.
Consent logging and breach-notification duties now apply, without a workflow to run them.
This vertical has no physical asset to monitor — the proof is engineering discipline. Our workflow-automation engine runs real production flows today, and we design and ship BI/aggregation systems against live, messy production data as a matter of daily practice, including for our own operations.
A proven engine running real production scheduling and alerting today.
We build the ingestion pipeline connecting your source systems to a warehouse.
We stand up a self-hosted dashboard layer in place of per-seat licensed tooling.
We build the lineage trail that answers "where did this number come from."
No device or sensor node in this pipeline — the seam is workflow automation, proven and real.
Client SaaS, DB or flat files
Built for your source systems
PostgreSQL or your own
Self-hosted dashboards
Live infra, flow per client
Any sensor pass-through mention (a client aggregating another vertical's device data) is a downstream-consumer pattern we can build, not a live integration shipped today.
Workflow automation runs today; the items marked "We Build This" are the ELT/BI stack our engineers stand up and host for you.
Self-hosted scheduling and alerting seam, already proven in production.
We build the ingestion connectors from your source systems into a warehouse.
We stand up self-hosted dashboards on PostgreSQL, sized to your team.
We build the browser that answers "where did this number come from."
We build an offline-first interviewer app with GPS+photo evidence for primary data collection.
We build the consent-logging and breach-notification ticket flow your compliance team needs.
Your warehouse and delivery-tracking tools stay in place — we build the pipeline and BI layer around them.
Snowflake, BigQuery, Redshift or Postgres — we integrate to whichever you already run.
Report-due and SLA nudges pushed into Jira or whatever your delivery team already tracks against.
Data-quality and refresh notifications routed to wherever your delivery team already watches.
Concrete outcomes built on a proven workflow-automation track record.
ELT pattern reused across engagements, instead of reinventing ingestion for every project.
on SLA and report-due deadlines, once wired to your delivery calendar.
with a self-hosted BI stack in place of per-seat licensed tooling.
Directional outcomes based on our workflow-automation engine's proven production use — the ELT/BI layer is scoped and built for each engagement, sized against your reporting cycle during a pilot.
Tell us about your reporting cycle and we'll scope a pipeline pilot.