Engineering State-of-the-Art Agentic Systems & ML Platforms.
We partner with VPs of Engineering to architect robust, self-healing AI pipelines and scalable data infrastructure. Move beyond fragile prototypes with premium, fully evaluated ML systems built to perform flawlessly against your strictest business rules.
AI hype doesn't scale. Your infrastructure must.
Building a proof-of-concept is easy. Engineering a reliable, scalable, and self-correcting AI system that consistently adheres to your strictest business rules is another story. You need infrastructure that moves beyond fragile prototypes—systems designed for the rigorous demands of the $400 billion Testing, Inspection, and Certification (TIC) and FinTech industries. You need confidence that your ML models perform flawlessly, evaluating themselves natively within your existing architecture.
Trusted by innovative teams
Core Capabilities
End-to-end engineering for data-intensive applications and autonomous AI systems.
Agentic Services Architecture
Design and implementation of self-correcting multi-agent pipelines (PydanticAI, LangChain) that automate complex analysis and augment human workflows.
Data & ML Platform Design
Architecting scalable, Kubernetes-native ML infrastructure and MLOps lifecycles to deploy XGBoost, CatBoost, and GenAI models to production flawlessly.
Enterprise Data Engineering
Building high-throughput real-time ingestion pipelines and robust ETL/ELT data warehouses (Airflow, DBT, Snowflake) that power your business intelligence.
The Right Stack for the Job.
We don't prescribe a single toolchain. We assess your architecture and engineer the optimal technology formula for your specific project and constraints.
AI & MLOps
- PydanticAI
- LangChain
- VertexAI
- Kubeflow
- Seldon Core
- XGBoost
- PyTorch
Data Engineering
- Airflow
- DBT
- Snowflake
- BigQuery
- Kafka
- PySpark
Infrastructure
- Kubernetes
- Terraform
- Docker
- GitHub Actions
- CI/CD
Application
- Python
- TypeScript
- Next.js
- FastAPI
- Django
- React
- PostgreSQL
Proven Results.
Real engagements. Measurable outcomes. Here's what we've built.
99% Faster
Self-Correcting AI for Automated Financial Analysis
Solely architected a self-correcting multi-agent pipeline (Python, FastAPI, VertexAI) that automated complex financial analysis. Replaced hours of manual processing with sub-2-minute autonomous execution, enabling real-time risk scoring for thousands of applications.
$150M Capacity
Scalable ML Microservice for Revenue Forecasting
Redesigned a monolithic forecasting model into a Kubernetes-native microservice on GCP Cloud Run, enabling auto-scaling to 1,000+ pods. The system supports 3,000+ businesses monthly, backing a total origination capacity of $150 million USD.
300K+ Events/Mo
AmbientAI: Live Geospatial Monitoring from Scratch
Co-founded and independently built the entire platform: Django backend, React frontend, database, CI/CD on AWS. Engineered a high-throughput real-time ingestion pipeline (Kafka) handling 300K+ monthly API events with sub-second latency for a live Mapbox world-map dashboard.
100K+ Lines
Disrupting Testing, Inspection & Certification with Agentic AI
Co-founded and architected a cloud-based distributed ecosystem leveraging state-of-the-art Agentic AI and computer vision. Includes production-ready inference servers, fully autonomous AI agents, and advanced semantic clustering for automated dataset generation across a 100K+ line codebase.
The Siderium Difference.
Why top VPs of Engineering partner with us to solve their hardest data problems.
Self-Healing Agentic Architecture
We design robust, lightweight AI pipelines equipped with rigorous evaluation harnesses that automatically vet outputs against your business rules to ensure human-level precision. Our pipelines self-correct errors in real-time, drastically reducing hallucinations.
State-of-the-Art Engineering Acumen
Leveraging over a decade of deep expertise across Python, Next.js, Kubernetes, and modern AI frameworks (VertexAI, PydanticAI), we deliver cutting-edge event-driven systems that keep your product at the absolute forefront of technology.
Production-Grade Reliability
We transform experimental ML concepts into scalable, highly reliable data platforms and premium deployments that your engineering team can trust and build upon. From CI/CD pipelines to high-throughput Kafka streaming, we engineer for uptime.
How We Work.
A flexible engagement model tailored to your architecture, your constraints, and your timeline.
Discovery & Architecture Review
We start with a deep technical discovery call to understand your current stack, pain points, and business objectives. No generic proposals — we assess your specific architecture and constraints.
Engineering & Delivery
We design and build the solution using the technology stack best suited to your project — whether that's a lightweight agentic pipeline, a full ML platform overhaul, or production-grade data infrastructure. Delivered via fixed-price milestones or monthly retainers.
Handoff & Support
Every engagement includes thorough documentation and knowledge transfer. Your team owns the result. We remain available for ongoing support through flexible retainer arrangements.
Who We Are.
A team of specialists, guided by the stars.
Siderium Systems is a team of senior engineers and domain specialists who partner with ambitious startups and SMBs to solve their hardest data and AI challenges. Our core team brings 12+ years of hands-on experience architecting production-grade systems across FinTech, IoT, and enterprise AI — backed by specialists in Data Science, Analytics, Frontend Engineering, and Cybersecurity who join engagements as needed.
Our engineers hold dual master’s degrees in engineering, have built platforms from the ground up across four continents, and have operated at the intersection of distributed systems, machine learning, and cloud infrastructure since before “MLOps” was a term. We’ve deployed systems handling $150 M+ in financial capacity, processed 300 K+ real-time events per month, and reduced processing times by 99% with self-correcting AI pipelines.
We don’t do cookie-cutter solutions. Every engagement starts with understanding your architecture, your constraints, and your business rules — then we engineer the simplest system that solves the problem at the highest level of reliability.
Ready to Engineer State‑of‑the‑Art Systems?
Let's build robust, self-healing AI pipelines and scalable data infrastructure together. Drop us a line and we'll schedule a technical discovery call.