Turn Complex Problems into Intelligent Solutions
Whether you're exploring AI for the first time, wondering whether your current solution can be optimized, wanting to supercharge your product with artificial intelligence features or not sure AI is even the right thing for you, we can help you.
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AI Agents
Let us help you bring intelligent automation to complex workflows. Whether you're starting with a rough idea or refining an existing system, we offer the technical depth and expertise to help you design, build, and scale AI agents that can handle intricate tasks, learn from data, and deliver real value to your business.
What we Do
- Identify high-impact opportunities to automate workflows with AI agents.
- Evaluate your current tools and processes to find where AI agents can save time, help reduce errors, or unlock new capabilities.
- Design agents that work alongside your team, handling repetitive tasks, processing scattered information, or making smart decisions.
- Build and deploy scalable agents, with reliability, security, and performance in mind.
- Tune and monitor performance to ensure your agents stay accurate, helpful, and aligned with your goals.
- Help your team adopt and manage AI agents with confidence, through thoughtful integration, clear documentation, and training.
Tech and Capabilities
- AI Opportunity and Readiness Discovery Workshop
- Workflow Audits
- Agent Design and Scoping
- Tooling & API Integration Planning
- Data Preparation & Evaluation
- Retrieval-Augmented Generation (RAG)
- GraphRAG
- Multi-agent Architecture Design
- LLM Orchestration
- Agent Observability & Monitoring
- Guardrails & Safety Nets
- We work with tools like LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, OpenAI, Anthropic, Hugging Face, Ollama, and more. We integrate with Slack, GitHub, Jira, Notion, and your internal APIs. We're also happy to work with your preferred tools and platforms.
AI Team Augmentation
Need help kicking off or speeding up your AI initiatives? We're ready to plug into your tools, workflows, and culture and work with your team to deliver results from week one. Whether you're building from scratch, refining a prototype, or scaling a production system, we can provide the right expertise to deliver the right solution, faster.
What we Do
- Seamlessly integrate with your team to accelerate AI development and experimentation.
- Collaborate on scoping, prioritizing, and delivering high-impact AI-powered features and solutions.
- Transition from a fully in-house team to a hybrid model with experienced AI engineers and ML specialists.
- Whether you're working with traditional Machine Learning or the latest Generative AI techniques, we have the expertise to help you succeed.
- Improve model performance, reliability, and maintainability with support from our applied AI experts.
- Whether you’re using CRISP-DM, agile, or your own flavor of delivery, we’ll adapt to your process and help it scale.
- Share clear reports and insights from week one, showing the value and progress of our contributions.
- Work alongside product managers, business experts, data analysts, and engineers who understand when to ask hard questions and push for better outcomes.
- Tackle performance, security, or reliability concerns that prevent your systems from reaching their full potential.
Tech and Capabilities
- Python
- Ruby
- Scikit-learn
- PyTorch
- TensorFlow
- Hugging Face
- Applied Machine Learning
- Natural Language Processing (NLP)
- Recommendation Systems
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Model Evaluation & Monitoring
- MLOps & Model Deployment
- OpenAI API / Anthropic Claude / Google Gemini / Mistral
- LangChain / LangGraph / Semantic Kernel / LlamaIndex
- Vector Databases (Pinecone, Weaviate, pgvector, Qdrant)
- Graph Databases (Neo4j, ArangoDB)
- Data Engineering (ETL, Data Pipelines, Airflow, Prefect, Dagster)
- Data Wrangling & Feature Engineering
- Experiment Tracking (MLflow, Weights & Biases)
- Testing AI Systems
- Performance Optimization for AI Systems
Audit & Optimization
Are your AI systems doing what they're supposed to do? Are they efficient, reliable, and secure? Are they doing enough to prevent bias and protect privacy? Do you have ethics, sustainability and copyright concerns you would like to address? We'll dig into your models, pipelines, agents, and processes to identify what's working, what's not, and where you're leaving value on the table. Our Audit & Optimization services leave no stone unturned!
What we Do
- Review your AI/ML systems end-to-end, from data pipelines to model deployment.
- Identify performance bottlenecks, instability, inefficiencies, and hidden costs across your stack.
- Analyze model accuracy, drift, and failure modes to surface blind spots and risks.
- Evaluate your prompts, embeddings, or fine-tuned models for effectiveness and reliability.
- Optimize model performance for speed, cost, and relevance without compromising quality.
- Optimize agent flows for efficacy, reliability, security, and cost.
- Recommend practical next steps, whether it’s a full rebuild, targeted fixes, or low-effort wins.
- Deliver clear documentation, metrics, and insights to support better decisions going forward.
Tech and Capabilities
- Model Performance Audits
- Prompt Evaluation & Tuning
- Embedding Quality & Search Optimization
- Cost & Latency Evaluation
- Data Pipeline Reviews
- Error Analysis & Drift Detection
- LLM Evaluation Frameworks
- Testing & Guardrails for AI Systems
- Logging, Monitoring & Observability for AI Systems
- Technical Debt Remediation in ML Systems
- Data Modelling, Orchestration, and Quality Audits
- Security & Compliance Reviews
MLOps & Scaling
Getting a model to work is just the beginning. Making it reliable, scalable, and maintainable is the real challenge. We help you build the infrastructure, processes, and practices to take your AI systems from prototype to production with confidence!
What we Do
- Design and implement robust pipelines for training, testing, and deploying ML models.
- Set up versioning for data, models, and experiments to improve reproducibility and traceability.
- Automate model deployment with workflows tailored for ML systems.
- Build monitoring and alerting systems to track performance, drift, and failure in production.
- Optimize infrastructure for cost, speed, and scalability, whether on-premises, in the cloud, or in a hybrid environment.
- Support secure, compliant deployment of AI models in sensitive or regulated environments.
- Help your team adopt MLOps best practices without adding unnecessary complexity.
Tech and Capabilities
- Model Deployment
- Data & Model Versioning
- Experiment Tracking
- MLFlow
- Model Monitoring & Alerting
- Drift Detection
- Feature Stores
- Model Registries
- Infrastructure as Code (Terraform, Ansible)
- Kubernetes / Kubeflow
- Docker
- Airflow / Prefect / Dagster
- AWS
- Google Cloud Platform
- Azure
- Databricks
- Snowflake
- Spark
- Security, Compliance & Access Control
- Observability & Logging
Custom Solutions
Off-the-shelf solutions don't always cut it. Let's build AI that fits your product, your users, and your data. From fine-tuning LLMs, to building domain-specific models, to ensuring no sensitive or copyrighted data is fed to third-party services and all your data is kept local. We work with you to unleash your data's true potential and deliver solutions that are smart, scalable, and tailored to your goals.
What we Do
- Fine-tune foundation models on your proprietary data for better relevance and control.
- Build domain-specific models and pipelines when general-purpose AI tools fall short.
- Integrate AI into your existing products and platforms with clean, scalable APIs.
- Develop web and internal apps powered by custom AI functionality and smart interfaces.
- Evaluate tradeoffs between accuracy, latency, cost, and complexity to choose the right approach.
- Collaborate with your team to scope, prototype, and iterate quickly—without compromising quality.
- Deliver production-ready solutions with clear documentation, tests, and observability built in.
Tech and Capabilities
- AWS
- GCP
- Azure
- Databricks
- Heroku
- Docker
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- CrewAI
- Scikit-learn
- PyTorch
- Torch.rb
- LLM fine-tuning (PEFT, LoRA, QLoRA, Adapters, etc.)
- Embedding model fine-tuning
- RAG
- GraphRAG
Anything Else
Get in touch with us! We love trying new things. Let us know what you’re looking for and we’ll see if we can accommodate your request.
Get in TouchContact Us
Drop us a message about your project requirements and let us know how we can support you. If you’d prefer you can send an email to hello@ombulabs.com
What's Next
We’ll reach out to organize a call to go over the details of your request. If it sounds like we’re a good fit we usually start with a discovery sprint, where we learn more about your needs and create a plan to address them.