Understand the data
Types, grain and relationshipsField types, keys, time granularity and business definitions enter shared context. The nature of a table, entity or document determines which tools and steps are appropriate.
ID Axis Agentic execution
Complex work.
Orchestrated.
From a business objective to a deliverable.
IDENIFE’s multi-agent reasoning and execution framework. Embed planning, tool use, persistent state and result verification into your products and business workflows.
An execution system built around a goal
Business objectiveTurn data into actionable recommendations.
ID AxisPlan · delegate · execute · verify
DataLink & map
ToolsRead & transform
ReviewCheck & refine
A usable deliverableArtifact + sources + execution trace
One business task.
A coordinated system.
The value of multiple agents lies in organising specialist work. Shared objectives, clear roles and visible dependencies turn intermediate outputs into a coherent result.
Illustrative business taskFrom equipment incidents to recommendations
Define what done means.
Turn the business objective into an executable agreement. Align the permitted sources, analytical definitions and delivery format before work begins.
Task contract
01- Objective
- Identify equipment issues and draft maintenance recommendations
- Data scope
- Authorised work orders, asset register and maintenance knowledge
- Acceptance
- Cited recommendations; unknowns listed separately
Source records stay read-only. Creating a work order is a separate action that requires review.
Select a stage to inspect responsibilities and deliverable structure. This is an illustrative workflow with no external connection.
Designed for long-running work
Work can stop.
Progress should remain.
Business systems time out, data formats change and model outputs can violate a contract. Axis treats these as execution states: preserve valid work, locate the failing step and choose the next action.
Reliability comes from work that can be inspected, located and resumed.
Continue from the last valid state
- Sources retrieved
Save references, input versions and retrieval results.
CP–01 - Analysis interrupted
Record the failure and hold dependent steps.
CP–02 - Reconcile, then resume
Reuse valid artifacts. Retry only eligible, unfinished work.
CP–02
Reconcile business receipts before retrying a write. A retry should not become a duplicate order or ticket.
Capability is
built to grow.
Plugin generation and self-optimisation turn capability gaps into an engineering feedback loop. A method developed for one task can become a reusable capability for the next.
- 01
Identify the gap
Existing tools cannot handle a new format, mapping or business rule.
- 02
Build a candidate
Generate the implementation with explicit inputs, outputs, permissions and failure conditions.
- 03
Validate in isolation
Check normal cases, boundary inputs and failure cases for correctness and side effects.
- 04
Evolve by version
Update after comparable evaluation. Keep the stable version, issue history and rollback path.
Data-type adapter · illustrative structure
plugin: normalize_asset_events
input
asset_id → string
event_time → datetime
measurements → object
output
normalized → dataset
rejected → issue_list
lineage → source_refs
execution
source_access → read_only
side_effects → none
validation → requiredImprovements that can be verified. Experience that can be reused.
Execution feedbackFailure casesCandidate changesConsistent evaluation
Execution shaped around data work
Understand the structure.
Then do the work.
Constrain execution
Contracts, authority and stateValidate arguments before invocation and structure afterwards. Define timeouts, retry limits and ownership of failures. Configure reads and writes separately to reduce ambiguous actions.
Deliver evidence
Provenance, quality and versionsResults carry source references, validation records and artifact versions. Business teams can trace a recommendation or locate the outputs affected by a processing rule.
Put execution
where work happens.
Axis provides embeddable execution capabilities. Your product owns the interface, business rules and customer experience; the framework coordinates and executes the work.
Data governance & production
Coordinate source discovery, field mapping, transformation and quality checks in a traceable task chain. Help data implementation teams turn repeated operations into reusable delivery capabilities.
ID OmniaID Optima
Enterprise operations
Connect cross-system retrieval and specialist judgement for incident analysis, evidence gathering and recommendations. Writes and publication follow separately configured business approval policies.
Intelligent tasks inside your product
Turn repetitive clicking, copying and checking into stateful tasks. The host application presents progress, handles review requests and receives the finished artifacts.
Start with one well-defined task
Your business workflow.
Execution by Axis.
Define inputs, deliverables and acceptance criteria first. Then agree on models, tools, permissions and runtime. Evaluate correctness, recovery and execution cost on real tasks before expanding the scope.
Your applicationID AxisModels · plugins · MCP tools