Data Infrastructure & Observability for AI Companies
We build production-ready data pipelines, optimized databases, and real-time monitoring dashboards—so your AI team can focus on models, not plumbing.
Trusted by data teams
Your AI Infrastructure is Growing Faster Than Your Data Team Can Handle
Sound familiar?
Monitoring costs are out of control
Your Datadog bill is $15K/month and climbing. You need visibility, but not at that price.
Data is scattered everywhere
Training logs in S3, inference metrics in CloudWatch, user events in Postgres. No single source of truth.
Reports take forever
Your team spends hours manually pulling data for weekly reports. There has to be a better way.
No visibility into what matters
Is your ML pipeline slow? Are inference costs spiking? You won't know until it's too late.
The core issue: AI companies generate massive amounts of data, but lack the infrastructure to collect, organize, and monitor it efficiently. That's where we come in.
We Build Your Complete Data Foundation
From data collection to real-time dashboards—we handle the full stack so you don't have to.
Data Pipeline Engineering
We unify your scattered data from AWS, databases, and third-party tools into clean, reliable pipelines.
Data Infrastructure Setup
Fast queries, cheap storage, clean schemas. We design optimized architectures for your specific needs.
60-80% storage cost reduction
Observability & Dashboards
Real-time visibility into ML pipelines, costs, and data quality with open-source tools you own.
$3-5K/month vs $15-20K for Datadog
The Result: A complete, production-ready data stack that scales with your AI team—without the enterprise price tag.
Let's discuss your data needsHow We Work With You
Discovery Call
We discuss your data challenges, current setup, and goals. No sales pitch—just technical assessment.
Technical Assessment
We audit your infrastructure and propose a tailored solution with timeline and pricing.
Build & Deploy
We build your pipelines, databases, and dashboards. Progress updates every 2-3 days.
Handoff & Support
We train your team, document everything, and provide ongoing optimization and support.
Discovery Call
We discuss your data challenges, current setup, and goals. No sales pitch—just technical assessment.
Technical Assessment
We audit your infrastructure and propose a tailored solution with timeline and pricing.
Build & Deploy
We build your pipelines, databases, and dashboards. Progress updates every 2-3 days.
Handoff & Support
We train your team, document everything, and provide ongoing optimization and support.
Transparent Pricing
Choose the engagement that fits your stage. Start with Foundation, then scale up as your needs grow.
Foundation Setup
Get your data infrastructure right from day one
Launch your complete data infrastructure in 3-4 weeks. Perfect for teams replacing expensive tools or starting fresh.
What's Included
Best For: Teams getting started or replacing expensive SaaS tools
Production Retainer
Continuous development as you scale
Ongoing data engineering support. We grow your infrastructure alongside your business needs.
What's Included
Best For: Growing AI teams adding new data sources continuously
Enterprise
Custom solutions for complex requirements
Tailored engagement for organizations with unique needs, compliance requirements, or large-scale infrastructure.
What's Included
Best For: Series A+ companies with complex data needs
Primastat vs. Hiring In-House
Why pay $180K+ for a full-time data engineer when you can get more for less?
| Aspect | Primastat | In-House Hire | Your Advantage |
|---|---|---|---|
| Annual Cost | $60K - $144K | $180K - $350K+ | 60-70% savings |
| Time to Productivity | 1-2 weeks | 3-6 months | 10x faster |
| Hiring Risk | None - cancel anytime | Severance, rehiring costs | Zero risk |
| Expertise Level | Senior specialists | Varies by hire | Guaranteed quality |
| Tool Coverage | Full stack (Grafana, ClickHouse, Kafka, etc.) | Limited to hire's skills | Broader coverage |
| Vacation / Sick Leave | Continuous coverage | Gaps in coverage | Always available |
Not sure which tier is right for you?
Book a free 30-minute consultation. We'll assess your current infrastructure and recommend the best starting point—no commitment required.
Book a Free ConsultationClient Success Stories
See how we help AI companies build production-ready data infrastructure
Building Data Infrastructure for an AI Agent Platform
A fast-growing AI startup was running multiple autonomous agents in production but had zero visibility into what was happening inside them.
Challenge
No unified view of agent behavior across the system Debugging required manual log diving (3-4 hours per incident)
Solution
LangSmith → S3 (raw) + ClickHouse (aggregated) Python ETL with robust error handling and retry logic
Real-Time Data Pipeline for Car Parking Management
A car parking management company needed a robust data pipeline to ingest real-time operational data and generate actionable insights.
Challenge
Data arriving from multiple sources with different patterns No unified view of parking operations and metrics
Solution
Mage AI pipeline reading from message queue and S3 Data transformations handled centrally in Mage
Why Teams Choose Primastat
We Build, Not Just Consult
You get working code, deployed infrastructure, and live dashboards—not strategy decks.
Open-Source Expertise
Self-hosted tools you own (Grafana, ClickHouse, Mage AI). Save 60-80% vs. SaaS with no vendor lock-in.
Built for AI Workloads
We understand ML pipelines, LLM inference monitoring, and the unique observability needs of AI companies.
Fast Execution
No bloated teams or slow agencies. Just focused, efficient delivery. Most projects launch in 3-4 weeks.
Founder-Led
Work directly with the founder. No account managers, no junior teams. Your pipelines built personally.
Client Feedback
Our clients trust us to solve complex problems with clarity. Here's what they say about working with us.
Primastat's work is brilliant and their attention to detail, especially considering the complexities of our requirement was excellent.
Alwyn Veliyeth
CTO, Rezcomm
Primastat's data analytics transformed our business, delivering actionable insights and driving exponential growth.
Tushar Aggarwal
CEO, TUAG
Primastat helped us creating efficiencies in our internal processes using various AI approaches. The team is responsive and consultative to address requirements.
Raja A.
Delivery Head, Dsquare Technologies
Frequently Asked Questions
Still have questions?
We're happy to chat and answer any questions about your specific needs.
Get in touchReady to Build Your Data Foundation?
Book a free 30-minute consultation. We'll discuss your data challenges, review your current setup, and outline a clear path forward. No sales pitch. No obligation. Just honest technical advice.