Data + AI GTM engineering studio
GTM systems that compound with AI,
not crumble.
We build fully AI-native, tech-stack-independent GTM systems. No glue. No vendor lock-in. Systems you own that get stronger as your stack changes.
Clay Club Delhi · seed → Series D · systems you own
Tech-stack-independent by design
The four layers
Every anti-fragile GTM system runs on four layers.
Data → signals → orchestration → execution. Skip a layer and the whole stack crumbles under stress.
Clean foundation
Dedupe, identity resolution, enrichment waterfalls. A 98% accuracy floor that persists as records flow in.
Buying intent, scraped
Job posts, tech stack shifts, website changes — scored with evidence chains and decay when they go cold.
Systems that route themselves
CRM writes, Slack alerts, warehouse syncs, AI agents — owned by you, running on your keys.
Pipeline that compounds
Outbound, inbound, dial infrastructure — built on clean data, not bolted on top of chaos.
GTM diagnostic
Describe your GTM problem
We map your problem to the system layer, recommended playbooks, and free tools — the same capability map we use with Deepline GTM engineering skills.
What we build
Systems, not staff augmentation.
All services →CRM Data Cleanup
Dedupe, resolve, enrich, and score every record. A 98% accuracy floor that persists as new leads flow in.
02Pipeline Bottleneck Removal
We map the workflow that generates your pipeline, find where it leaks, and rebuild the choke points as automated systems.
03AI GTM Workflows
Custom signal engines, scoring models, and AI agents built on your data, running on your keys, owned by you.
Selected work
Built and shipped.
All case studies →320,000 accounts deduped, resolved, scored, persistent
For a high-growth GTM services firm, we deduplicated and scored an account list of 320k+ companies, resolved accurate company identities, enriched every record, and made scoring persistent across the CRM.
Custom signals, territory-routed at the right time
For a Series C data privacy platform, we scraped custom data points across the internet and turned them into buying signals, territory-assigned and delivered to the right rep at the right moment.
Project Nova: 1,500+ dials per rep per day
We rebuilt the entire cold-call motion for a Series B marketing analytics platform, so every SDR booked 2+ meetings a day instead of grinding through manual list-building.
Your pipeline should compound, not crumble.
Thirty minutes. Bring what is broken in your motion, leave with the outline of a system that fixes it.