nanocreek

AI Systems At Scale

Senior Engineers • 20+ Years Experience • Google/Meta/AWS Alumni

Production AI That Actually Works

Skip the proof-of-concepts. We build AI systems that ship to production: fine-tuned models, real-time inference engines, RAG pipelines. Battle-tested code from engineers with 20+ years at Google, Meta, and AWS.

2-8 Week Delivery
Enterprise-Grade Code
Fixed-Price Projects
Senior Engineers Only

What We Build (And Build Fast)

Production-grade systems delivered in weeks, not months. From AI integration to high-performance C++ engines—built by senior engineers who've deployed at billion-user scale.

Generative AI & LLMs

Fine-tuning, inference optimization, RAG systems, and custom model deployment. Integrate GPT, Claude, or open-source models into your products with production-grade reliability.

ML Training & MLOps

End-to-end ML pipelines from data preprocessing to model training, versioning, monitoring, and automated retraining. Build models from scratch or improve existing ones at scale.

Low-Latency C++ Systems

Convert research prototypes to production-ready systems. High-performance inference engines, real-time processing, and optimized compute for ML workloads that demand millisecond response times.

Full-Stack Development

React, Next.js, Node.js, Python, and TypeScript. Build new applications from scratch or extend your existing stack with modern interfaces and robust APIs.

AI System Integration

Seamlessly incorporate generative AI, ML models, and automation into your existing systems. API design, data pipelines, and middleware to connect AI capabilities with your infrastructure.

Cloud & Infrastructure

Production deployment on AWS, Azure, or GCP. Auto-scaling, CI/CD, cost optimization, and monitoring. Built for reliability at any scale with low latency guarantees.

How We Work

Fixed scope, fixed price, fixed timeline. No hourly billing surprises. Weekly progress demos to staging.

01

Kickoff Call

We discuss scope, tech stack, and timeline. You get a detailed plan within 48 hours.

02

Development Sprints

Weekly demos and deployments to staging. You see progress in real-time, not at the end.

03

Code Review & QA

Senior engineers review everything. Automated tests catch bugs before they ship.

04

Production Deploy

We handle the launch and stick around to fix any issues. Then handoff documentation.

Technical Expertise

20+ years of production experience across the full stack — from low-level performance optimization to enterprise system architecture

AI & Machine Learning

Generative AI & LLMs

GPT-4ClaudeLLaMAMistralFine-tuningRAG SystemsPrompt EngineeringOpenAI APILangChainVector DatabasesEmbeddings

ML Frameworks & Tools

PyTorchTensorFlowScikit-learnHugging FaceONNXTensorRTvLLMTritonMLflowWeights & Biases

ML Engineering

Model OptimizationQuantizationInference EnginesA/B TestingDrift DetectionFeature EngineeringData PipelinesModel Versioning

Backend & Infrastructure

Languages & Runtimes

PythonTypeScriptJavaScriptC++GoRustNode.jsFastAPIExpress.js

Cloud & DevOps

AWSAzureGCPKubernetesDockerTerraformHelmCI/CDGitHub ActionsArgoCD

Databases & Caching

PostgreSQLMongoDBRedisElasticsearchDynamoDBSnowflakePineconeQdrantClickHouse

Frontend & Full-Stack

Frameworks & Libraries

ReactNext.jsVue.jsSvelteTailwindCSSZustandReact QueryShadcn/ui

API & Integration

REST APIsGraphQLWebSocketstRPCWebhooksOAuth2JWTAPI Gateway

Testing & Quality

JestPytestPlaywrightCypressUnit TestingIntegration TestingE2E TestingLoad Testing

MLOps & Platform Engineering

ML Platform Tools

KServeKnativeIstioKarpenterKubeflowSeldonBentoMLRay

Monitoring & Observability

PrometheusGrafanaDatadogNew RelicSentryELK StackJaegerOpenTelemetry

Performance & Optimization

CUDAGPU OptimizationLoad BalancingCaching StrategiesDatabase TuningCode ProfilingMemory Management

Core Engineering Competencies

System Architecture
API Design
Performance Optimization
Security Best Practices
Code Review
Technical Documentation
Agile/Scrum
Team Leadership
Problem Solving
Production Debugging

Recent Work

Real projects with real results. Delivered in 2025 by senior engineers with 20+ years experience.

Cloud-Native ML Inference Platform

Enterprise AI Company

Production Kubernetes ML serving on AWS EKS. Complete automation: OAuth2, TLS, auto-scaling with Karpenter/Knative. Supports vLLM and Triton runtimes.

KubernetesAWS EKSIstioKServePython
<2 hour setup

GenAI Document Intelligence System

Legal Tech Startup

RAG-based system processing 10,000+ legal documents. GPT-4 fine-tuning + vector embeddings. Research time reduced by 85%.

GPT-4PythonC++ReactPinecone
85% time saved

ML Training Pipeline & MLOps

E-commerce Retailer

End-to-end ML pipeline with automated retraining. Custom demand forecasting model. Waste cut by 56%, paid for itself in 2 months.

PyTorchMLflowPythonFastAPI
56% waste reduction

Low-Latency Inference Engine

FinTech Platform

Python prototype to production C++ system. Real-time fraud detection with <10ms latency, processing 50k transactions/sec.

C++CUDAPythonTensorFlow

LLM-Powered Support Automation

SaaS Platform

Fine-tuned LLM chatbot handling 80% of support tickets. Resolution time: 4 hours → 2 minutes. Saved $180k annually.

OpenAILangChainTypeScriptReact
80% automated

Pricing

Fixed-price projects with clear deliverables. Built by senior engineers, delivered fast, no technical debt.

💡 Minimum project size: $8k • Ideal clients: $20k-$100k budgets

MVP

Perfect for MVPs and small projects

$8kfixed
  • 2-3 weeks delivery
  • Full-stack application or API
  • Database setup (Postgres/Mongo)
  • Cloud deployment included
  • 1 month of bug fixes
  • Complete handoff documentation
Most Popular

Standard Build

Production-ready systems, fast delivery

$20kfixed
  • 4-6 weeks delivery (typical: 5 weeks)
  • Enterprise full-stack application
  • Auth, permissions, and security
  • Admin dashboard and monitoring
  • AWS/Azure production deployment
  • Complete CI/CD pipeline
  • 2 months post-launch support
  • Full technical documentation

Custom

AI/ML systems and enterprise projects

Quotevaries
  • Production ML model deployment
  • AI system integration (GPT-4, Claude)
  • High-performance C++ optimization
  • Legacy system modernization
  • Compliance & security audits
  • 8-16 week timelines
  • Dedicated senior engineers
  • Ongoing retainer options

What Clients Say

Real testimonials from funded startups and established tech companies

"Went from manually configuring infrastructure for weeks to one-command deployment. The platform handles authentication, scaling, and monitoring automatically. Worth every dollar—saved us 6 months of engineering time."

JM

James Mitchell

Head of ML Infrastructure, Series B AI Startup ($12M raised)

"Cut our legal research time from 3 hours to 25 minutes. The C++ inference layer handles 500 concurrent users with sub-200ms latency. Delivered in 10 weeks, exactly on schedule. Best engineering team we've worked with."

SC

Sarah Chen

CTO & Co-founder, Legal Tech SaaS (YC W23)

"Rebuilt our fraud detection from Python to C++. Now processing 50,000 transactions/second with under 10ms latency. Zero false positives in 3 months of production. ROI achieved in 6 weeks. Would hire again immediately."

MR

Marcus Rodriguez

VP Engineering, FinTech Platform (Series C, $50M ARR)

Not For Everyone

We're selective about projects. Here's what we look for.

✓ Great Fit

  • You have budget ($8k-$100k range) and need it done right
  • You value speed AND quality—not willing to compromise
  • You need AI/ML, full-stack, or high-performance systems
  • You want senior engineers, not junior devs learning on your dime
  • You have a clear scope or can define one with us
  • You prefer fixed-price over hourly billing

✗ Not A Fit

  • Projects under $8k (too small for our process)
  • You want the lowest bid and don't care about quality
  • You need staff augmentation or long-term contractors
  • You have no budget but lots of "equity opportunities"
  • Scope is vague and you don't want to define it
  • You need it tomorrow (we're good, but not magicians)

If you're in the "Great Fit" category, we'd love to hear from you.

FAQ

Common questions

Start Your Project Today

Got a project? We'll respond within 24 hours with initial thoughts and availability. Most projects start within 1-2 weeks.

Live Chat

Available Monday-Friday, 9am-6pm EST

Schedule a Call

Book a free 30-minute consultation via contact form →

Senior Engineers Who've Built at Billion-User Scale

20-25+ years experience each. Google, Meta, AWS alumni. We've built production systems serving millions of users, led engineering teams through complex migrations, and debugged systems at 3am more times than we care to count.

We're not an agency with junior developers doing the work. Every line of code is written by senior engineers who've actually deployed AI/ML systems at scale. We skip the demos and proof-of-concepts—we build production systems that handle real traffic.