AI That Works in the Real World
Data Engineering &
Analytics Implementation
We don’t deploy AI because it’s trendy. We deploy AI where it delivers an unfair advantage — automating work, unlocking insights, and building capabilities you actually use every day.
Every AI solution is designed, built, and delivered by us — no mystery contractors, no overpromising sales decks.
Our Core Capabilities
From open-source LLM hosting to intelligent agents and custom automation — we make AI work for your business, not the other way around.
Run the best AI models without vendor lock-in.
Key Features:
- Serverless First & Asynchronous by Design — API Gateway, Lambda, and SQS for resilient, long-running tasks.
- On-Demand, Scalable Compute — Auto Scaling Group for Ollama inference, scaling from zero to meet demand.
- Standardized Model Management — Easy download, management, and serving of open-source language models.
- Fully Infrastructure as Code — Automated, repeatable, secure deployment in any AWS region.
Outcomes:
- Slash idle infrastructure costs to near zero.
- Experiment with the latest open-source models, anytime.
- Own your AI stack — no third-party dependency tax.
AI agents that can think and act.
Key Features:
- Model Context Protocol (MCP) Server — A micro-service between LLMs and real-world data/functions.
- Three Context Primitives — Structured ways for AI to access tools, data, and environments securely.
- Standardized API for Multi-Model Integration — Plug in different AI models without rewriting everything.
Outcomes:
- Deploy AI agents that actually interact with your systems.
- Reduce development time for multi-tool integrations.
- Future-proof your automation workflows.
Replace repetitive manual work with smart, self-correcting workflows.
Key Features:
- Custom-built AI workflows for operations, marketing, and data processing.
- Natural language interfaces for internal tools.
- Automated anomaly detection and reporting.
Outcomes:
- More output with fewer resources.
- Faster decisions without bottlenecks.
- Predictable, measurable efficiency gains.
From idea to deployed product — end-to-end.
Key Features:
- Node.js, Python, and React front-end/back-end builds.
- AI-integrated web apps and internal tools.
- MLOps pipelines for continuous model deployment and monitoring.
Outcomes:
- Get a market-ready product, not just a proof-of-concept.
- Keep your AI models accurate and relevant over time.
- Deploy securely at scale.
Why Work With Us
We’ve Built Our Own AI Platforms
Not just demos — real, production-ready LLM hosting and agent frameworks.
Cost-Efficient by Design
Architectures that run at near-zero cost when idle.
Future-Proof
No lock-in to a single model or provider.
From Idea to Production
We handle architecture, development, and deployment ourselves.
Security First
Privacy-ready and compliant from day one.
Long-Term Reliability
Our goal is to make sure you don’t need us every time you add a new data source.
Our Technology Stack
The AI tools we know inside out.
AI Model Hosting & Serving
Ollama, AWS Lambda, EC2 Auto Scaling, SQS, API Gateway.
Run what you want, where you want.
AI Agent Frameworks
Model Context Protocol (MCP), LangChain, LangGraph.
AI that can use tools, not just chat.
MLOps & Deployment
MLflow, SageMaker, Vertex AI, Docker, Kubernetes.
Keep AI models fresh, fast, and reliable.
Full-Stack Development
Python, Node.js, React, FastAPI.
Seamless integration of AI into real applications.
FAQ
Can you host AI models privately for our company?
Yes — our “Installama” platform runs on your AWS account with zero external dependencies.
How much does AI infrastructure cost to run?
Can your AI agents connect to our existing systems?
Do you build customer-facing AI tools?
Will you maintain our AI solution after launch?
Let’s Build AI That Actually Works
Talk directly with Oleks — the guy who’s architected AI platforms, deployed agent frameworks, and made them run at near-zero idle cost. No sales team, no handoffs — just a straight path from idea to production.
