AGI Engine
Large-scale agent architecture
A single AI model has finite capacity—limited memory, attention, and depth in any one pass. AG Insights applies the structure every capable organisation relies on: a team. Specialised agents work in parallel under defined roles, coordination, and process, with analyst oversight and validation at every step.
What the AGI Engine is
Not a single model answering a prompt, but a managed research pipeline. Every engagement runs the same disciplined sequence—architected and validated by analysts throughout.
Discovery
Find every relevant source across the public web—sites, filings, news, and reviews.
Extraction
Read each source and pull the specific data points that matter.
Corroboration
Cross-check each fact across multiple independent sources and resolve the most authoritative value.
Verification
Validate every value against its source, and flag or exclude contradictions.
Synthesis
Assemble everything into a structured, queryable intelligence asset.
The capability spectrum
Not one model stretched across every task, but the right kind of agent matched to each—from deterministic software to advanced reasoning.
Software agents
Deterministic processes, with no model involved—fetching and extracting pages, filings, and documents.
Lightweight agents
Efficient models for high-volume tasks: reading, extraction, and summarisation.
Reasoning agents
Advanced models for interpretation and judgement—classification, inference, and analysis.
Each agent runs the best frontier model for its task—we combine the strongest models from Anthropic, OpenAI, Google, and Perplexity, and re-evaluate as the field advances.
How scale emerges
Agent volume is not a marketing figure; it is a direct consequence of decomposition—one question broken into every company, source, and data point worth reading.
Why general-purpose AI is not enough
General-purpose assistants recall training data and predict the most probable answer. A managed intelligence engine reads, corroborates, and attributes—at a scale that instruction alone cannot reach.
General-purpose AI
- Answers from training data fixed at a past cut-off—blind to recent developments.
- Predicts probable wording over verified fact—Stanford research found leading chatbots wrong on 58–88% of expert queries.
- Reviews only a handful of pages per query; coverage cannot be scaled by instruction.
The AGI Engine
- Reads the live public record—220 sources, 588 documents, 57 companies in one recent engagement.
- Corroborates every finding across independent sources—over 95% supported by two or more.
- Grades each data point for confidence and traces it to its source; nothing enters the deliverable unsourced.
What you receive
Not a collection of summaries, but a structured intelligence asset—adapted to your needs and to how each audience consumes intelligence.
Interactive dashboard
A queryable, evidence-linked view of the full dataset.
Written reports
Industry-report quality, tailored to your question.
Executive briefings
Distilled for boards and senior stakeholders.
AI-generated podcasts
Audio briefings for wider distribution.
One engine. Intelligence for every decision.
Bring us your hardest strategic question—and we’ll turn the public record into the answer.