Helping navigate AI complexity by creating a clear, actionable plan aligned with your goals.
Helping navigate AI complexity by creating a clear, actionable plan aligned with your goals.
Helping navigate AI complexity by creating a clear, actionable plan aligned with your goals.
Building bespoke solutions to solve specific business problems leveraging AI.
Building bespoke solutions to solve specific business problems leveraging AI.
Building bespoke solutions to solve specific business problems leveraging AI.
Pre-train / Fine-tune LLMs/SLMs on your data
Automate business workflows leveraging Agentic AI
Build & Deploy full-scale AI Applications & Tools for specific use-cases
We apply full-stack expertise to solve customer problems
We apply full-stack expertise to solve customer problems
We apply full-stack expertise to solve customer problems
Application Layer
Copilots, Chatbots, Automations, React.js, Streamlit, Next.js, FastAPI, OpenWebUI
We are technology-agnostic, but favour modern frameworks that help us build quickly and deliver great user experiences. React.js, Streamlit, Next.js, FastAPI, or OpenWebUI — we choose what best fits the product and workflow.
Application Layer
Copilots, Chatbots, Automations, React.js, Streamlit, Next.js, FastAPI, OpenWebUI
We are technology-agnostic, but favour modern frameworks that help us build quickly and deliver great user experiences. React.js, Streamlit, Next.js, FastAPI, or OpenWebUI — we choose what best fits the product and workflow.
Application Layer
Copilots, Chatbots, Automations, React.js, Streamlit, Next.js, FastAPI, OpenWebUI
We are technology-agnostic, but favour modern frameworks that help us build quickly and deliver great user experiences. React.js, Streamlit, Next.js, FastAPI, or OpenWebUI — we choose what best fits the product and workflow.
Orchestration & Tooling
LangChain/LangGraph,MCP, Memory Systems, Agentic Orchestration, Context Engineering
Multi-agent systems today are highly capable. Using LangChain/LangGraph, Memory systems, MCP, and context engineering, we orchestrate reliable agent workflows. Our deep understanding of GPU and model layers lets us fully leverage capabilities like KV-caching and model-aware routing—beyond simply wrapping an API.
Orchestration & Tooling
LangChain/LangGraph,MCP, Memory Systems, Agentic Orchestration, Context Engineering
Multi-agent systems today are highly capable. Using LangChain/LangGraph, Memory systems, MCP, and context engineering, we orchestrate reliable agent workflows. Our deep understanding of GPU and model layers lets us fully leverage capabilities like KV-caching and model-aware routing—beyond simply wrapping an API.
Orchestration & Tooling
LangChain/LangGraph,MCP, Memory Systems, Agentic Orchestration, Context Engineering
Multi-agent systems today are highly capable. Using LangChain/LangGraph, Memory systems, MCP, and context engineering, we orchestrate reliable agent workflows. Our deep understanding of GPU and model layers lets us fully leverage capabilities like KV-caching and model-aware routing—beyond simply wrapping an API.
Data Layer
Unstructured/Structured Data, RAG, Vector DBs (Pinecone, MongoDB, Weaviate, FAISS), GraphDB (Neo4j), Synthetic Data
High-quality data is the key differentiator in AI, and data readiness is a process. We support you from the start—structuring, preparing, and governing data, ensuring applications have correct access across platforms, and grounding outputs in your organisational context. We support RAG across vector databases (Pinecone, MongoDB, FAISS, and more) and GraphRAG using Neo4j.
Data Layer
Unstructured/Structured Data, RAG, Vector DBs (Pinecone, MongoDB, Weaviate, FAISS), GraphDB (Neo4j), Synthetic Data
High-quality data is the key differentiator in AI, and data readiness is a process. We support you from the start—structuring, preparing, and governing data, ensuring applications have correct access across platforms, and grounding outputs in your organisational context. We support RAG across vector databases (Pinecone, MongoDB, FAISS, and more) and GraphRAG using Neo4j.
Data Layer
Unstructured/Structured Data, RAG, Vector DBs (Pinecone, MongoDB, Weaviate, FAISS), GraphDB (Neo4j), Synthetic Data
High-quality data is the key differentiator in AI, and data readiness is a process. We support you from the start—structuring, preparing, and governing data, ensuring applications have correct access across platforms, and grounding outputs in your organisational context. We support RAG across vector databases (Pinecone, MongoDB, FAISS, and more) and GraphRAG using Neo4j.
Model Layer
LLMs, SLMs, Classical ML,Fine-tuning (LoRA, SFT, RL), Open-source Models
LLMs are powerful, but production use often requires optimisation, fine-tuning, or shifting to smaller models (SLMs). We apply advanced optimisation strategies—including KV-caching, quantisation, distillation, and efficient decoding—to deliver the simplest, most effective solution. When needed, we combine these with classical machine-learning methods. We work across proprietary and open-source ecosystems to select the right model for your needs—not vendor constraints. Our expertise with LoRA, SFT, RL, and inference acceleration helps balance quality, cost, and latency.
Model Layer
LLMs, SLMs, Classical ML,Fine-tuning (LoRA, SFT, RL), Open-source Models
LLMs are powerful, but production use often requires optimisation, fine-tuning, or shifting to smaller models (SLMs). We apply advanced optimisation strategies—including KV-caching, quantisation, distillation, and efficient decoding—to deliver the simplest, most effective solution. When needed, we combine these with classical machine-learning methods. We work across proprietary and open-source ecosystems to select the right model for your needs—not vendor constraints. Our expertise with LoRA, SFT, RL, and inference acceleration helps balance quality, cost, and latency.
Model Layer
LLMs, SLMs, Classical ML,Fine-tuning (LoRA, SFT, RL), Open-source Models
LLMs are powerful, but production use often requires optimisation, fine-tuning, or shifting to smaller models (SLMs). We apply advanced optimisation strategies—including KV-caching, quantisation, distillation, and efficient decoding—to deliver the simplest, most effective solution. When needed, we combine these with classical machine-learning methods. We work across proprietary and open-source ecosystems to select the right model for your needs—not vendor constraints. Our expertise with LoRA, SFT, RL, and inference acceleration helps balance quality, cost, and latency.
Cloud Platforms
Google Vertex AI, Azure AI Foundry, AWS Bedrock, Cloud-agnostic Deployment
With hands-on experience across major AI platforms—including Google Vertex AI, Azure AI Foundry, and AWS SageMaker—we remain cloud-agnostic. We design, customise, and deploy scalable solutions on your preferred hyperscaler.
Cloud Platforms
Google Vertex AI, Azure AI Foundry, AWS Bedrock, Cloud-agnostic Deployment
With hands-on experience across major AI platforms—including Google Vertex AI, Azure AI Foundry, and AWS SageMaker—we remain cloud-agnostic. We design, customise, and deploy scalable solutions on your preferred hyperscaler.
Cloud Platforms
Google Vertex AI, Azure AI Foundry, AWS Bedrock, Cloud-agnostic Deployment
With hands-on experience across major AI platforms—including Google Vertex AI, Azure AI Foundry, and AWS SageMaker—we remain cloud-agnostic. We design, customise, and deploy scalable solutions on your preferred hyperscaler.
Infrastructure & Compute
GPU Kernels, PTX (mma.sync, ldmatrix, cp.async), Tensor Core Optimization, KV-Cache optimization, CUTLASS
GPU-native performance engineering that goes beyond library calls—optimising PTX kernels (mma.sync, ldmatrix, cp.async), memory hierarchy, and advanced attention kernels. This ensures high-throughput, deterministic inference on NVIDIA architectures. We also accelerate model-level techniques such as KV-cache layout, paging, and batching to maximise throughput and hardware efficiency.
Infrastructure & Compute
GPU Kernels, PTX (mma.sync, ldmatrix, cp.async), Tensor Core Optimization, KV-Cache optimization, CUTLASS
GPU-native performance engineering that goes beyond library calls—optimising PTX kernels (mma.sync, ldmatrix, cp.async), memory hierarchy, and advanced attention kernels. This ensures high-throughput, deterministic inference on NVIDIA architectures. We also accelerate model-level techniques such as KV-cache layout, paging, and batching to maximise throughput and hardware efficiency.
Infrastructure & Compute
GPU Kernels, PTX (mma.sync, ldmatrix, cp.async), Tensor Core Optimization, KV-Cache optimization, CUTLASS
GPU-native performance engineering that goes beyond library calls—optimising PTX kernels (mma.sync, ldmatrix, cp.async), memory hierarchy, and advanced attention kernels. This ensures high-throughput, deterministic inference on NVIDIA architectures. We also accelerate model-level techniques such as KV-cache layout, paging, and batching to maximise throughput and hardware efficiency.
Our Solutions Are Sector Agnostic
Our Solutions Are Sector Agnostic
Our Solutions Are Sector Agnostic
We provide end-to-end AI consulting and solution implementation to help industries unlock new insights and growth opportunities. Our expertise is industry and function agnostic, focusing on digital workstreams and cognitive tasks where AI creates the most transformative impact.
We provide end-to-end AI consulting and solution implementation to help industries unlock new insights and growth opportunities. Our expertise is industry and function agnostic, focusing on digital workstreams and cognitive tasks where AI creates the most transformative impact.
We provide end-to-end AI consulting and solution implementation to help industries unlock new insights and growth opportunities. Our expertise is industry and function agnostic, focusing on digital workstreams and cognitive tasks where AI creates the most transformative impact.
Healthcare
Telecom
Travel
Banking & Finance
IT
Retail & Logistics
Real Estate
Automotive
and more…