Applied AI & Machine Learning
Model selection, custom ML, evaluation, inference architecture and product integration — focused on measurable outcomes rather than novelty.
Machine Learning · Agentic AI · Intelligent Systems
AI systems, woven into real capability.
LatticeML designs and builds production-grade AI systems by connecting models, agents, memory, data and tools into coherent, secure and genuinely useful solutions.
Integration is the advantage.The best AI solution is rarely a single model. We make the components work as one system.
Applied AI & ML
Agentic Systems
AI Memory
RAG & Knowledge
Model Integration
Enterprise Delivery
Capabilities
More than a model. A complete intelligent system.
We combine machine learning expertise with systems engineering to turn promising AI technologies into reliable products and business capabilities.
Agentic Systems
Tool-using agents, multi-agent workflows, orchestration, guardrails and human-in-the-loop patterns designed for dependable real-world execution.
Memory & Knowledge
Semantic, episodic and structured memory; retrieval-augmented generation; vector, graph and relational knowledge architectures for context-aware AI.
AI Integration Platforms
Open, modular architectures that connect models, enterprise data, APIs, tools and existing platforms without locking the solution to one vendor.
LatticeML technology · In development
Introducing TAL
One integration layer. Many intelligent components.
TAL is LatticeML's modular AI integration technology for assembling models, agents, memory, knowledge and tools into controllable systems. Its purpose is simple: let the right components work together without forcing the whole solution into a proprietary stack.
Composable by designSwap and evolve components without rebuilding everything around them.
Memory-awareConnect agents to durable context, retrieval and structured knowledge.
Model flexibleUse cloud, frontier, open-source or local models according to the workload.
Operationally visibleBuild for control, evaluation, tracing and production engineering from the outset.
Models
Agents & Tools
Memory & Knowledge
Data & Systems
TAL
Our approach
Build the lattice, not just the demo.
Useful AI emerges when intelligence, context, data and action are engineered together. We design for the complete lifecycle — from architecture and experimentation through secure deployment and ongoing evolution.
01
Start with the outcome
Define the business capability first, then choose the models, memory and agent patterns that actually serve it.
02
Design for substitution
AI changes quickly. Interfaces should make models and components replaceable rather than becoming permanent dependencies.
03
Engineer trust into the system
Evaluation, observability, security, permissions and human controls are part of the architecture — not post-launch additions.
04
Make complexity useful
We hide unnecessary technical complexity behind a system that is understandable, operable and valuable to the people using it.
Services
From idea to production.
LatticeML works across the AI delivery lifecycle — whether you need a focused prototype, a new intelligent product or a production architecture that brings existing technologies together.
AI architecture & strategy
Use-case discovery, solution architecture, model and platform selection, security patterns and practical roadmaps grounded in engineering reality.
Product & platform engineering
Production-grade AI applications, agentic workflows, memory systems, RAG, APIs and integration layers built with maintainability in mind.
Modernisation & integration
Connect AI to enterprise data and existing applications, migrate prototypes into durable systems, and reduce dependence on one vendor or model.
Company
Why LatticeML?
The name Lattice reflects how we think about intelligent systems: strength comes from interconnection. Models, agents, memory, data and tools each have value on their own; the greater opportunity is in how they are woven together into a dependable whole.
Machine Learning and Artificial Intelligence are our core competencies. Our focus is turning that expertise into technology and services that are practical, open, secure and capable of evolving as the AI landscape changes.
Have an AI problem worth solving?
Tell us what you are trying to achieve. We can help identify the right architecture, technologies and path to production.