What We Build
AI Solution Suites
Composable accelerators, not fixed solutions. Six productised suites — each a set of modular, reusable components — get you to a working baseline in weeks, then scale. Governed and evaluated by design.
The six suites
One operating model, six places to start.
Expand a suite for what it does and where it fits — or open its full page. Each is composable, evaluated from day one, and governed by design.
Intelligent Document Automation
Automates reading, extraction, and structuring of documents to cut errors, speed workflows, and free teams for higher-value work.
ExtractStructureAssure Open Atlas→Business Intelligence Acceleration
Lets anyone query data in plain language, unlocking faster insights, smarter decisions, and less reliance on technical teams.
AskVisualiseNarrate Open Beacon→Conversational Experience Engine
Delivers always-on chat, voice, and app agents to boost satisfaction, consistency, and scale customer operations.
EngageResolveHand-off Open Concierge→Sales & Product Enablement
Generates customised decks, campaigns, and messaging to speed go-to-market and drive stronger engagement.
ComposePersonaliseActivate Open Herald→Unified AI & GenAI Operations
Provides a central backbone for deploying, monitoring, and scaling AI, reducing risk and time-to-value.
DeployMonitorGovern Open Helm→Scalable AI Decision Engineering
Combines data, rules, and models into traceable workflows, enabling confident, automated decision-making at scale.
ModelExplainAutomate Open Compass→Why composable
Lego-brick architecture, not hard-wired apps.
We build agents and services, not hard-wired apps. Each plugs into different workflows without rebuilding the whole solution.
Example: Beacon, embedded into BI, chat, and portalsWe support multiple AWS deployment patterns without changing core app logic — network rules, security, landing zones, latency, governance.
Example: Technology1, deployed as an MCP server in a containerEach component includes relevant evaluations, so quality is measured from day one and improved iteratively from a baseline.
Example: BMT, targeted image-tagging improvementAn accelerator sets up the base quickly, then components establish a steel thread to validate early and build on with confidence.
Example: SRG Global, Atlas + custom comparison agent