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AlphaOmega.AI

The platform

Data becomes a graph. The graph becomes a judgement.

Three layers of intellectual property, twenty-seven agents that argue before anything reaches a board, four domain models we own, and seven platform layers you can adopt at any level.

Three layers of intellectual property.

Each layer is defensible on its own. Together they turn raw disclosure into a decision the board can price.

  1. The data

    DAK Framework

    Data, architecture and knowledge: entity resolution, ownership graphs and source lineage across 10,500+ entities in 55 African states, with listed issuers counted directly from exchange registers.

  2. The method

    PSIDA™

    A seven-dimensional intelligence lens carrying 47+ KPIs per entity, each confidence-banded and Monte Carlo validated at 10,000+ iterations.

  3. The outcome

    Share-Price Engineering™

    Value-driver mapping and investor-narrative decomposition that links a management decision to the drivers of enterprise value, typically two to three quarters ahead of a re-rating.

The PSIDA™ lens.

Seven dimensions, 47+ KPIs per entity, each confidence-banded. The seventh dimension, regulatory and risk, is where most competitive surprises actually start.

Positioning
Share, pricing power, and where the pool actually sits
Strategy
Stated intent versus capital actually deployed
Innovation
Product velocity, partnerships, build-or-buy posture
Digital
Channel economics, platform maturity, technology spend
Assets
Balance sheet, network, licence and franchise value
Sentiment
Analyst, funder, press and social narrative
Regulatory & Risk
Supervisory stance, licence exposure, enforcement flow

Twenty-seven agents that argue first.

Agents pass structured context across a governed bus and escalate to a human analyst when consensus cannot be reached at the required confidence. That escalation rule is what makes the system deployable inside a regulated institution.

  1. Tier I, 9 agents

    Ingestion & enrichment

    Acquire, resolve, normalise and lineage-stamp every source.

  2. Tier II, 12 agents

    Analysis & reasoning

    Score, simulate, cross-examine and contest each conclusion.

  3. Tier III, 6 agents

    Synthesis & delivery

    Compose, rank, attribute and render for the board.

  4. Output gate

    Confidence gate

    Publish with a confidence band, or escalate to a human analyst.

  • Typed context

    Every hand-off is a schema-validated object carrying claim, source, timestamp, method and confidence.

  • Contest before consensus

    Tier II agents are mandated to disagree. A conclusion that survives challenge carries more weight.

  • Least-privilege context

    An agent sees only the slice its task requires, which contains the blast radius of any failure.

  • Sub-second kill switch

    Anomalous behaviour isolates and stops the agent in under a second; the run resumes from a checkpoint.

Four domain models we own, and no single vendor.

A task-aware router sends each request down two lanes and reconciles them. When the frontier moves, the router is re-pointed rather than the business re-platformed.

  1. Request

    From an agent or an executive

  2. Task-aware router

    Sends each request down both lanes

  3. Frontier lane

    6+ models for breadth, language and open-world reasoning

  4. AO-series lane

    4 models for domain precision on corpora we hold

  5. Reconciliation

    Agreement publishes with a confidence band; disagreement escalates

  • AO-Finance-7B

    The quantitative core

    Ratio construction, valuation mechanics, revenue-pool decomposition and Share-Price Engineering™ mathematics, calibrated against filed accounts.

  • AO-Competitive-3B

    The move predictor

    Competitor behaviour and positioning inference across large entity universes, trained on how institutions have actually behaved, market by market.

  • AO-Regulatory-5B

    The jurisdiction reader

    Multi-market supervisory, prudential and AML/CFT analysis under grounded-answer guardrails. It refuses rather than infers where the instrument is silent.

  • AO-Executive-2B

    The board register

    Compresses analysis to executive length while keeping the evidence chain. The smallest model, and the one boards actually read.

Seven layers. Adopt at any of them.

You can start at the intelligence-product layer without rebuilding the foundation beneath it. Provenance, audit log and evidence chain travel with every answer, at every layer.

  1. L7

    Experience & executive interface

    Role-specific dashboards, board pre-reads, committee briefings, delivered into the channels executives already use

  2. L6

    Intelligence products

    The Platform, Revenue Pools, Regulatory Intelligence, Investor & Funder Sentiment, Executive Strategy Engineer™

  3. L5

    Agentic & reasoning layer

    27 agents, PSIDA™ scoring, Monte Carlo at 10,000+ iterations, peer cross-validation, a human escalation gate

  4. L4

    Model layer

    6+ frontier models and 4 proprietary AO-series models behind task-aware routing, with no single-vendor dependency

  5. L3

    Data & enrichment fabric

    150+ sources: market data, regulator and supervisor portals, regional feeds and first-party enterprise data

  6. L2

    Security, identity & governance

    Enterprise SSO, role-based access, data residency, immutable audit log, an IP firewall between platform and client estate

  7. L1

    Infrastructure & compute

    Sovereign-region hosting, isolated tenancy per client, self-hosted model serving, containerised deployment

Every number carries a passport.

No figure enters an AlphaOmega output without a provenance class, a source, a timestamp and a confidence band. Where a figure is not published, the blank is printed and marked, never estimated and never shown as zero.

  • Counted

    Enumerated directly from a primary register: exchange listings, licence registers, filed returns. The strongest class.

  • Proven

    Stated in an audited or officially filed document, cited to page and date. A client figure is cited as theirs.

  • Derived

    AlphaOmega arithmetic on counted or proven inputs, with the method published alongside the result.

  • Modelled

    Simulation output, confidence-banded and labelled, shown at lighter weight than evidence.

Where a decision surface does not exist, we engineer one.

Two to six weeks to a first working artefact, with acceptance criteria agreed upfront and signed off at the end of every sprint.

  • Data

    Pipelines into your estate

    Connections into core systems, transaction platforms, partner interfaces and warehouses, governed and monitored like production infrastructure.

  • Agents

    Custom agent development

    New agents built to a named task and added to the governed bus with their own guardrails, thresholds and escalation rules.

  • Models

    Fine-tuning on your corpus

    Domain models trained on your own documents, policies and decision history, deployed inside your tenancy.

  • Interfaces

    The surface people use

    Role-specific dashboards, board packs, internal tools, and delivery through the channels your executives already use.

  • Assurance

    Evaluation & testing

    Evaluation suites and regression tests before any version change reaches production, with accuracy reported for risk and audit.

  • Deployment

    Inside your perimeter

    Containerised deployment into your own cloud subscription and identity estate where sovereignty or licence conditions require it.

Bring us one real question your current systems cannot answer.

We scope it as a contained sprint, agree the acceptance criteria in writing, and return with a working intelligence artefact.