Sales, marketing,computer, and infrastructureintelligence.
Enrevia Technologies builds production-grade intelligence systems for revenue teams and the infrastructure that runs them. Four shipped products. Two consulting practices. One studio.
Astra, Connect, Taska, Augur.
Four products. One brand. One intelligence layer per domain — sales, marketing, computer, infrastructure. Each shipped, in market, and designed to compose.
Enrevia Astra
A go-to-market intelligence platform built on cleaner data, sharper signals, and a fraction of the friction. The serious alternative to Apollo and Lusha — without the seat tax.
Enrevia Connect
Unified campaigns, sequences, pipeline, and lifecycle — the connective tissue between marketing and sales that your stack has been pretending to be.
Enrevia Taska
An AI-native workspace that drafts, prioritizes, and follows through — for people whose calendars are still the bottleneck and whose to-do lists never end.
Enrevia Augur
Unified endpoint management and MDM for IT and security teams running fleets across every modern platform — with an ML intelligence layer that forecasts disk, battery, thermal, and memory failures days before users notice.
Two practice areas.
A focused engagement model. We work with a small number of teams each quarter — usually because they want operators who've already built the thing they're trying to build.
Growth Systems
Senior operators and engineers who wire up the full GTM stack — intelligence, automation, attribution, and lifecycle. Built on the same primitives that power Astra, Connect, and Taska.
- Go-to-market intelligence
- Sales & marketing automation
- Attribution & analytics
- Lifecycle architecture
Engineering & AI
Embedded engineering and applied-AI engagements for teams building serious infrastructure. UEM, ML forecasting pipelines, internal platforms, and the connective tissue around them.
- Endpoint platform builds
- ML forecasting systems
- Internal tools & infra
- Fractional CTO
Four ideas that decide what we build, how we ship, and who we work with.
- 00
Build software people stick with — not software that demos well.
- 01
Optimize for the operator. Decisions, not dashboards.
- 02
Fewer abstractions. Long memory. Sharp instincts.
- 03
Stay small. Move with intent. Ship what's true.