Cognitivo
What We Build

Products & Services

From AI-powered SaaS to enterprise data infrastructure. Everything Cognitivo builds is grounded in explainability, trustworthiness, and industry-readiness.

Flagship SaaS Product

Prospo: Intelligent Workspace for Financial Advisors

AI-powered product initially built for financial advisers. Automates admin, eliminates data entry, and gives advisers the headspace to stay fully present with every client. Built on Neural Symbolic AI, the first advisory platform that doesn't just automate tasks, it understands client relationships.

Meeting Intelligence & Auto-NotesReal-time AFSL Compliance FlaggingClient Relationship Knowledge GraphCRM & Practice Management IntegrationsAustralian Data Residency
Explore Prospo
80%
Less admin time
100%
Audit coverage
Client capacity
Platform

AI Factory

Cognitivo's AI platform, a marketplace for our full suite of AI products and capabilities. AI Factory gives organisations a single, governed entry point to discover, deploy, and scale Cognitivo AI across their enterprise.

Rapid Prototyping

Spin up validated model prototypes in days using pre-built domain templates tuned for financial services, government, and insurance.

MLOps Infrastructure

CI/CD for models: automated retraining, drift detection, and rollback pipelines built on MLflow and Databricks.

Model Governance

Full audit trail of training data, hyperparameters, and performance metrics for every model version, compliance-ready from day one.

Cost Optimisation

Intelligent workload scheduling across GPU and CPU resources on Azure to eliminate idle spend and minimise compute cost.

Core Technology

Neural Symbolic AI
AI That Reasons, Not Just Predicts

Our Neural Ontological AI (NOAI) architecture fuses the pattern recognition power of LLMs with the logical rigour of Knowledge Graphs, critical for regulated industries where every decision must be auditable.

Active ResearchUNSW FAIC Project P004 · Neural Symbolic AI for Financial Services

Knowledge Graph Integration

Encode domain expertise as structured ontologies. AI that knows your business rules, not just statistical patterns.

Explainable AI Outputs

Every prediction comes with a chain of reasoning. "The model said so" is never an acceptable answer in regulated industries.

Ambiguity Resolution

Resolve contradictory or incomplete data using symbolic logic, not hallucination. Ideal for noisy real-world datasets.

Data Engineering

Enterprise Lakehouse

Enterprise Lakehouse architecture, complex data migration, and ML pipelines on Databricks: the data foundation every AI strategy depends on. As a certified Databricks delivery partner, we unify your data estate and make it AI-ready.

Databricks Certified Partner
Enterprise delivery for Lakehouse & MLflow
01

Discovery & Architecture

Week 1–2

Audit your current data estate, identify migration risk, and design your target Lakehouse architecture with data contracts defined upfront.

02

Delta Lake Migration

Week 3–6

Migrate legacy warehouses and data lakes to Delta format using incremental pipelines with zero downtime and full schema validation.

03

Unity Catalog Setup

Week 5–8

Column-level security, data lineage tracking, and cross-workspace governance. Know exactly who accessed what, and when.

04

ML Pipeline Engineering

Week 7–12

Production ML pipelines on Databricks with MLflow tracking, automated retraining, and drift detection baked in from day one.

Governance & Compliance

Responsible AI

AI without governance is a liability, not an asset. We embed privacy, security, and compliance into your AI architecture from the start, grounded in CSIRO Data61 R4 and UDRM methodology.

R4: Re-identification Risk Product

Assess and manage the risk of personal re-identification in anonymised datasets, critical for healthcare, finance, and government.

Unified Data Risk Management

A single risk view across your entire data estate: access, lineage, classification, and breach impact in one dashboard.

AI Ethics Frameworks

Operationalise the Australian AI Ethics Principles within your model development and deployment lifecycle, not just on paper.

Regulatory Compliance

Architecture aligned to APRA CPS 234, Privacy Act, APS standards, and emerging Australian AI regulation frameworks.

CSIRO Data61 R4UDRM FrameworkAPRA CPS 234Australian AI Ethics PrinciplesPrivacy Act 1988