We don't just consult.
We own the problem
until it's solved.
20+ years shipping production systems. No slides. No decks. Just working infrastructure.
// services.list --verbose
What We Ship
Nine disciplines. One team. All production-ready.
AI Evals & LLMOps
Instrument your LLM pipelines with rigorous evals. Track drift, hallucination rates, and latency in production. Build evaluation harnesses that actually catch regressions.
Data Engineering
End-to-end pipelines from ingestion to warehouse. dbt models, Airflow DAGs, Spark jobs, and streaming architectures that scale to billions of events.
Cloud Infrastructure
Multi-cloud architecture on AWS, GCP, and Azure. IaC with Terraform and Pulumi. Cost optimization that cuts your bill by 40%+ without touching performance.
Kubernetes & DevOps
Production-grade Kubernetes clusters with GitOps workflows. CI/CD pipelines that deploy in minutes, not hours. Zero-downtime deployments as standard.
Security & Compliance
SOC2, HIPAA, PCI-DSS compliance programs. Threat modeling, penetration testing coordination, and security posture hardening for regulated industries.
Backend Engineering
High-throughput APIs and microservices in Go, Python, and TypeScript. Service mesh architectures and event-driven systems built for failure tolerance.
ML Platform
Feature stores, model registries, and serving infrastructure. End-to-end MLOps pipelines from experiment tracking to A/B testing in production.
Analytics & BI
Self-serve analytics platforms and metric frameworks. Looker, Metabase, and custom dashboards wired to a governed semantic layer your whole team trusts.
Technical Due Diligence
Pre-acquisition technical reviews for investors and acquirers. Codebase audits, architecture assessments, and team capability reports in 2 weeks.
// ai_infrastructure.list --services
AI Infrastructure Engineering
From GPU cluster design to inference optimization. We have worked where the models are trained.
GPU Cluster Architecture
- $H100/H200/B200/GB200 cluster design and deployment
- $InfiniBand & RoCE networking, RDMA fabric optimization
- $Cluster interconnect tuning for distributed training
AI Training Infrastructure
- $Distributed training orchestration (PyTorch DDP, FSDP, Megatron-LM)
- $Fault-tolerant training, checkpoint management
- $Multi-node job scheduling and resource allocation
Inference Optimization
- $vLLM, TensorRT-LLM, TGI deployment and latency tuning
- $KV cache optimization, continuous batching, speculative decoding
- $P50/P95/P99 SLA achievement for production LLMs
AI Data Center Engineering
- $High-density rack design (40kW-250kW per rack)
- $Liquid cooling systems for GPU workloads
- $Power distribution, UPS, and grid demand management
AI Observability & Reliability
- $LLM monitoring with Arize, LangSmith, Datadog LLM Observability
- $Model drift detection, eval regression pipelines
- $Production SLOs and alerting for AI systems
Storage for AI Workloads
- $Parallel file systems: Lustre, GPFS, BeeGFS for training data
- $NVMe-oF for low-latency dataset access
- $Object storage optimization for model artifacts and checkpoints
[ACTIVE] Current demand: colossus-scale clusters · inference serving · RDMA networking · LLM observability · data center power/cooling
// stealth_mode.init
Startup Retainer Packages
Embedded engineering for funded startups. Senior talent on-demand without the hiring overhead.
VC-backed startups receive 15% off all Stealth packages for the first 6 months. Mention your fund at sales@nerdstop.io to activate.
STEALTH::SEED
One senior engineer, 20 hrs/month. Infrastructure foundation, architecture review, and on-call advisory. For pre-Series A startups building core systems.
- >20 hrs/month dedicated engineering
- >Architecture & tech stack review
- >AWS/GCP/Azure cost audit
- >On-call Slack access (48hr SLA)
- >Monthly 1:1 with CTO/VP Eng
- >Security posture baseline
or email sales@nerdstop.io
STEALTH::SCALE
Two senior engineers, 60 hrs/month. Full-stack execution from data pipelines to ML infrastructure. For post-Series A moving fast and breaking nothing.
- >60 hrs/month (2 engineers)
- >Data pipeline & ML infra buildout
- >Kubernetes cluster management
- >CI/CD pipeline implementation
- >On-call Slack access (24hr SLA)
- >Bi-weekly stakeholder syncs
- >Hiring bar-raising interviews
or email sales@nerdstop.io
STEALTH::FORGE
Full embedded team, 120+ hrs/month. Fractional CTO + engineering squad. Own your entire technical roadmap and execution. For Series B+ teams that need a tech force multiplier.
- >120+ hrs/month (4+ engineers)
- >Fractional CTO services
- >Full technical roadmap ownership
- >Dedicated Slack channel
- >On-call (4hr SLA, 24/7)
- >Board-ready technical reporting
- >Recruiting & team buildout
- >M&A technical due diligence
or email sales@nerdstop.io
// pricing.config
Engagement Models
Transparent rates. No surprises. All pricing is flat and pre-agreed before work begins.
STARTER
Pre-purchased hours for on-demand senior engineering. Use across any discipline.
BUILDER
Ten hours of senior engineering at scale rate. Best for scoped problems.
ADVISORY
Monthly advisory retainer. Architecture decisions, vendor evaluations, hiring bar.
EMBEDDED
Embedded engineering retainer. 32 hrs of senior execution monthly, flat rate.
STRATEGIC_PARTNER
Senior engineering partner 2 days/week. Committed annual rate.
EMBEDDED_PRINCIPAL
Principal-level engineer embedded 3 days/week. Full technical ownership.
[NOTE] All engagements begin with a free 30-minute scoping call. Stealth retainer packages listed separately. Enterprise and multi-year contracts available — contact sales@nerdstop.io for custom pricing.
// clients.authenticated
Who We've Worked With
From seed-stage startups to Fortune 500s. All engagements under NDA.
CLIENTS_SERVED
Across SaaS, fintech, healthtech, and enterprise
DATA_PROCESSED
In production pipelines we have built and maintained
AVG_UPTIME
Across client systems under our care
"NerdStop rebuilt our entire data platform in 8 weeks. The quality was exceptional — clean dbt models, solid orchestration, and documentation that our full-time team could actually maintain."
VP Engineering
Series B FinTech
"We hired NerdStop for a 2-week sprint on our ML inference pipeline. They identified 3 critical bottlenecks and cut our p99 latency from 4 seconds to 180ms. ROI was immediate."
Staff ML Engineer
AI Startup
// contact.init
Start a Conversation
Tell us what you are building. We reply within 24 hours.
// DIRECT_CONTACT
CONTACT
projects@nerdstop.io// RESPONSE_SLA
// LOCATION
San Francisco Bay Area
Remote-first. Global clients.