Elicitation
Define the work.
Adaly clarifies intent and identifies the data, computation, and reasoning required.
For Organizations
One infrastructure for people and AI to discover, reason, learn, and act on live information.
Your definitions. Your permissions. No centralized source-record replica required.
Live sources.
Governed action.
Federated by design
Adaly works across your systems as one governed environment. No central copy required.
Query the source. Clean and normalize on demand.
Your fields. Your formulas. Your permissions.
Real computation. Cited results. Sanctioned writes.
A lake or lakehouse still puts a copy between your business and your AI.
Pipelines lock in assumptions. New questions become engineering backlogs.
Your models get faster. Your organization still waits for data to be ready.
Original record bundles remain in business, legacy, and physical systems. People, models, and agents work through the Adaly fabric without requiring a central replica. Each connection has two arrowheads: purple for reading live information and orange for sanctioned writes back to the source.
Source systems stay authoritative.
No warehouse prerequisite. No second permissions system.
Intelligent awareness
Your rules govern every step. Fields, formulas, and permissions.
Elicitation
Adaly clarifies intent and identifies the data, computation, and reasoning required.
Field and formula governance
Approved field definitions and formulas govern every calculation and conclusion.
Data swarm
Retrieve precise records and relationships across permitted systems in real time.
Analytical environment management
Coordinate analytical environments and parallel reasoning under your approved formulas.
One converged response
Converge findings with full citations, source lineage, formulas, and analytical steps.
Sanctioned action
Write changes into source systems within explicit permissions and approved workflows.
Proactive by design
Detects change. Investigates the impact. Acts within your policies.
Discovery. Analysis. Sanctioned action.
Supply and demand
Delivery delayed.
Compare inventory, capacity, cost, and commitments.
Reroute within approved limits; escalate exceptions.
Illustrative workflow. Your policies set the limits.
The reinforcement learning factory
Self-verifying environments, generated programmatically without 1,000 human reviews.
24/7/365 generation and verification. No library of handcrafted tasks setting the pace.
verified seed
Define the task and valid outcome.
Generation and verification, illustrated
Model learning requires separate authorization. Your controls
Credible by construction
Source systems, records, and fields.
Approved meanings and calculation rules.
The computation behind the conclusion.
The permissions authorizing each change.
Adaly does not use customer data to train Adaly-owned, shared, or cross-customer models.
Explore Trust