The Cognitive Edge
_Intelligence by Design.
We architect production-grade AI systems that transform raw data into competitive advantage. Custom LLMs, RAG pipelines, computer vision, and predictive analytics — engineered for enterprise scale on Google Cloud Vertex AI, integrated with Gemini, GPT-4o, and Claude.
Vision & Philosophy
Dousatsu — The Art of Insight.
In the noise of big data, we search for the signal. Our AI philosophy is rooted in the Japanese concept of Dousatsu — deep insight that looks beyond the surface. We don't deploy models; we architect cognitive systems that understand your domain, speak your terminology, and compound in value over time. Every model is a business asset, not a prototype.
LLM Ecosystem
Any Model. Every Use Case.
We are model-agnostic by design — selecting the right LLM for each task based on performance, latency, cost, and data sovereignty requirements. From Google's Gemini natively integrated with Vertex AI, to OpenAI's GPT-4o, Anthropic's Claude, and privately deployed open-source models running inside your GCP perimeter.
Gemini
Google DeepMind · Vertex AI
Native GCP integration via Vertex AI with enterprise SLAs. Multimodal capabilities, 1M token context window, grounding with Google Search, and direct access to Google Workspace data without egress.
ChatGPT
OpenAI
Industry-leading reasoning and code generation capabilities. Integrated via secure API proxies with zero data retention on OpenAI infrastructure — compliant for EU enterprise deployments.
Claude
Anthropic
Constitutional AI principles and 200K token context window. Preferred for long-document analysis, legal document review, and compliance-sensitive workloads requiring traceable reasoning chains.
Custom / On-Prem
Open-Source · Fine-tuned · Private
Fine-tuned Llama or Mistral models deployed entirely within your GCP environment. Zero data egress, full IP ownership, no dependency on external API availability or pricing changes.
Core Domains
Cognitive Specialisations.
Generative AI & LLMs
Enterprise-grade language model systems: domain-specific fine-tuning, multi-step RAG architectures with vector databases, and secure LLM deployment behind your own infrastructure. Built to handle sensitive data without sending it to third-party APIs.
Computer Vision
Production vision systems that see with surgical accuracy — real-time object detection, biometric authentication pipelines, and automated visual inspection for manufacturing and logistics. Optimised for edge deployment and sub-50ms inference via Vertex AI Vision.
Predictive Analytics
Time-series forecasting and anomaly detection systems that give operations teams days of advance warning. Built on Vertex AI and BigQuery ML — models that pay for themselves within the first quarter of deployment.
AI Integration
AI Inside Your Stack.
We don't ask you to rebuild your application around AI. We engineer the integration layer that brings intelligent capabilities directly into your existing architecture — streaming responses, structured outputs, and full observability from day one.
REST & Streaming APIs
Type-safe AI wrappers with retry logic, circuit breakers, streaming SSE support, and structured output parsing. Integrated into your existing .NET or Node.js service layer in days, not months.
RAG & Private Knowledge Bases
Private knowledge retrieval over your internal documentation, CRM data, and databases using Vertex AI Vector Search or pgvector on Cloud SQL. Your data never leaves your GCP project.
Agentic Workflows
Multi-step AI agents that call your APIs, read from your databases, write to your systems, and escalate to humans — inside auditable, observable pipelines built on Pub/Sub and Cloud Run.
AI Security & Privacy
Responsible AI. Engineered.
Every AI system we build is designed against Google's Secure AI Framework (SAIF) — the industry standard for securing AI from adversarial attacks, data leakage, and compliance risk. Security is a design constraint from sprint one, not a checklist before launch.
Expand Security Foundations
Extending your existing security posture — identity controls, audit logging, and network policies — to cover AI pipelines, training jobs, and model endpoints from the first commit.
Extend Detection & Response
AI-specific threat monitoring: model output anomaly detection, prompt injection alerting via Cloud Logging, and automated incident response playbooks for LLM-based services.
Automate AI Defences
CI/CD security gates that run automated model evaluation, output safety scoring, and regression tests on every deployment — so no model reaches production without passing a full safety battery.
Data Sovereignty
Training data, inference inputs, and outputs stay within your GCP project boundary. Vertex AI is configured with no-logging options, VPC Service Controls enforce the perimeter, and CMEK keys ensure only you control decryption.
Adversarial Robustness
Systematic red-teaming: prompt injection, jailbreaking, indirect injection via retrieved documents, and data poisoning attacks. All tested before deployment and monitored continuously in production via custom eval pipelines.
AI Governance & Compliance
Model cards, lineage tracking, and bias evaluation reports for every deployed model. Audit trails aligned with GDPR Article 22 (automated decision-making), EU AI Act risk classification, and your internal governance requirements.
Methodology
From Data to Decision.
The Engine
Powering the Mind.
Case Studies
Proven Expertise.
Ready to turn data into a strategic advantage?
Let's design an AI system tailored to your domain — one that creates compounding value, stays private, and scales with your ambition.