Specialist services
Sovereign AI strategy, enterprise agents, secure MCP integration, data foundations, Databricks-aligned architecture and delivery assurance.
View servicesEnterprise intelligence software and specialist advisory
Software and servicesfor accountable enterprise AI.
Splexion helps organisations use AI, data and automation where the work has to be explainable, sovereign-ready and controlled. We combine specialist advisory with software for modernisation decisions, transformation and tender intelligence.
What Splexion provides
Enterprise software
Orynt, Ternyx and Merixa help teams structure evidence, compare options, accelerate transformation and produce governed response work.
View softwareEvidence-led decisionsControlled AI workflowsSovereign-ready delivery
AI advisoryMCP and agentsEnterprise softwareDelivery assurance
How Splexion helps
Advisory when the path is unclear. Software when the work needs to scale.
Some customers need a product. Others need architecture, delivery support, assurance or a practical way to introduce AI agents into governed enterprise work. Splexion brings both sides together.
Enterprise modernisation
Modernisation is harder than it should be.
Important decisions are often made before the evidence is structured, then transformation teams inherit unclear rationale, unresolved dependencies and a growing gap between source systems and target outcomes.
Fragmented decision-making
Modernisation decisions often depend on partial inventories, tribal knowledge and inconsistent stakeholder input. Without a structured evidence base, organisations commit budget to paths they cannot defend.
Transformation work that stalls
Once a direction is approved, teams can still spend months interpreting legacy artefacts, resolving business rules and translating source context into target-platform decisions.
Generic frameworks and vendor bias
One-size-fits-all recommendations can ignore application-specific constraints, dependencies and risk. Splexion keeps the reasoning tied to the organisation's evidence and objectives.
Portfolio
by SplexionClarity before commitment.
Orynt structures application evidence, applies auditable rules and compares options so leaders can answer what should happen to an application, and why.
Explore OryntSource artefactsCostsDependenciesRisk rules
Application evidenceORYNT suite
ORYNT suite1Fit2Scope3Compare4Plan
Potential pathsCompare
Replatform86
Refactor68
Replace41
Risks exposedDependenciesEvidence linked
Recommendation Human approval
Approved directionTransformation handoffChosen target
by SplexionApplication Modernisation Accelerator.
Ternyx begins after an approved recommendation and accelerates transformation through Lens, Nexus and Forge, with clear handoffs into delivery, testing and deployment.
Explore TernyxTERNYX flow
Ingress
Lens
Inspect source artefacts, structure, rules and dependencies.
Central
Nexus
AI assists while accountable people resolve decisions.
Egress
Forge
Generate target-platform assets with traceability.
by SplexionClear, compliant, evidence-backed.
Merixa helps teams analyse tenders, map evidence, expose gaps and prepare grounded responses with human review lineage.
Explore MerixaRFP47requirements
Compliance viewGrounded
Requirements extractedLinked
Compliance matrixLinked
Evidence mappedLinked
Human reviewReview
Software-enabled services
Specialist support for sovereign AI, decisions, delivery and assurance.
Application and portfolio modernisation
Assessment strategy, portfolio rationalisation, modernisation roadmaps, platform and migration planning, and architecture analysis.
Sovereign and agentic AI
Governed AI agents, secure MCP integrations, enterprise data foundations, human approval and sovereignty-aware deployment design.
Implementation and transformation support
Product-enabled delivery, toolchain integration, validation and testing support, and transition planning.
Independent program assurance
Decision traceability, readiness review, delivery health, risk review and benefits assurance.
Governance principles
AI where it helps. Control where it matters.
Splexion keeps speed and governance working together. Recommendations and outputs remain connected to evidence, rules, review and accountable approval.
Evidence lineage
Keep recommendations, generated outputs and decisions connected to their source evidence.
Explainability
Expose the reasoning, rules and assumptions behind important recommendations.
Human control
Use AI assistance without removing accountable review, approval and judgement.
Auditability
Preserve decision context so organisations can review, assure and defend the path taken.
A practical starting point
Prove the decision path before scaling the workflow.
Splexion starts with the business decision, available evidence and required controls. The first activity should create something reviewable—not just demonstrate technology.
Decision framing
Define the accountable decision, desired outcome, constraints and the people who must approve it.
Evidence and control map
Identify the source material, gaps, review points, data boundaries and assurance evidence required.
Proportionate next step
Shape a focused pilot, product-enabled assessment or delivery activity with explicit outcomes and ownership.
Common questions
What enterprise teams usually need to know.
Where does an engagement normally begin?
With a focused discovery conversation about the decision, evidence, accountable owners and delivery constraints. From there, Splexion can recommend a product pilot, specialist assessment or connected delivery path.
Does Splexion replace accountable human decisions?
No. The products use assisted analysis and automation while preserving human review, exception handling and approval for material recommendations and outputs.
What information is needed for a pilot?
It depends on the challenge, but typically includes representative source artefacts, relevant business and technical context, known constraints, evaluation rules and the people responsible for approval.
How are security and data-handling requirements addressed?
Data boundaries, model and provider choices, access, retention, hosting and integration needs are confirmed for the customer environment during discovery. Splexion does not imply one universal deployment pattern.
What does sovereign AI mean at Splexion?
It means designing control across data residency and use, model and infrastructure choice, agent permissions, operational visibility, supplier dependencies and accountable human ownership. The exact pattern is agreed for each customer environment.