DevTools · AI & ML · 200–1000 · Asia-Pacific #b038_17

Context

We are a listed company selling agentic advertising and marketing software to brands across many offices, with large data backends and recommendation services.

Industry

DevTools & Software · AI & ML

Size

200–1000 employees

Region

Asia-Pacific

Tools budget

$5K–20K per month

Needs

Data pipelines & integration. Our ad and marketing pipelines ingest huge event volumes, and fragile batch jobs delay client reports.

Today: backend data engineers maintain warehouse, lake and customer pipelines · Urgency: now

Logs & metrics at controlled cost. Observability across many backend services is uneven, and telemetry costs keep rising with traffic.

Today: backend teams own observability and DevOps for real-time serving across regional offices · Urgency: now

Continuous compliance monitoring. We keep security and privacy certifications across many offices and want continuous drift alerts instead of annual scrambles.

Today: legal counsel spans privacy, AI and ad-tech rules, with a public trust center · Urgency: now

Who decides

vp engineering · team trial

Expects from suppliers

Handles very high event throughput; Integrates with our existing cloud warehouse; Multi-office certification scope

Not a fit

Tools needing data to leave our cloud; Seat pricing that punishes broad engineering use

Stack

cloud: GCP-class hyperscaler, data warehouse: cloud, CI/CD pipeline in place

Buying triggers

cost pressure, tool consolidation