scienceAPEX Framework

Embedded expertise. Accelerated outcomes.

Deploy experienced practitioners who embed within your organization to solve complex business and technology challenges.

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Deployment Models

Engineer, Team, or Squad - sized to your ambition.

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Forward Deployed Practitioner

One embedded operator backed by the full capabilities of InzpireU AI Labs.

Best for

  • checkProduct acceleration
  • checkAI adoption initiatives
  • checkTechnical leadership gaps
  • checkArchitecture & modernization efforts

What you get

  • boltDedicated embedded practitioner
  • boltAccess to AI Labs frameworks & accelerators
  • boltStrategic guidance & technical advisory support
  • boltWeekly outcome-driven delivery cadence
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Forward Deployed Pod

A small cross-functional team deployed to solve a specific business or technology challenge.

Best for

  • checkAI pilot programs
  • checkProduct launches
  • checkWorkflow automation
  • checkPlatform modernization

What you get

  • boltPractitioner + Architect + Specialist
  • boltShared delivery ownership
  • boltAI Labs support ecosystem
  • boltAccelerated execution and knowledge transfer
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Forward Deployed Squad

A dedicated transformation team for enterprise-scale initiatives and strategic programs.

Best for

  • checkEnterprise AI transformation
  • checkMulti-workstream modernization
  • checkDigital operating model redesign
  • checkNew platform development

What you get

  • boltCross-functional transformation squad
  • boltProgram governance & delivery leadership
  • boltAI Labs innovation, tooling & accelerators
  • boltEnd-to-end ownership from strategy to execution
Engagement Lifecycle

A five-step rhythm - from first conversation to continuous improvement.

1

Discover

Map the opportunity, data, and constraints.

2

Design

Architect the AI, data and decision layers.

3

Deploy

Ship to production with evals and observability.

4

Deliver

Hand over with docs, training and runbooks.

5

Decide-forward

Continuously tune models, prompts and policies.

Skill Profiles

Specialists across the AI delivery stack.

model_training

Applied ML Engineer

Primary

Model developmentFine-tuningFeature engineering

Supporting

MLOpsEvalsExperiment tracking
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GenAI / LLM Engineer

Primary

RAG systemsAgentic workflowsPrompt engineering

Supporting

Vector DBsGuardrailsTool use & routing
insights

Data & Decision Engineer

Primary

Data pipelinesFeature storesDecision systems

Supporting

AnalyticsStreamingData quality & lineage
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AI Product Engineer

Primary

Full-stack AI appsAPIs & SDKsProduction deployment

Supporting

UX patternsEvalsObservability
Where we have impact

Practice areas across human capital & decision AI.

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Workforce Intelligence

Skills, capability and mobility models built from your people data.

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Learning & Skills AI

Adaptive learning, skill tagging and personalised pathways.

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Decision Systems

AI-assisted decisions across talent, growth and operations.

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RAG & Knowledge Agents

Trusted answers grounded in your policies, docs and data.

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Predictive Analytics

Forecasts and early-warning signals for workforce & business KPIs.

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AI Governance & Evals

Guardrails, evaluations and audit trails for safe AI in production.

Why InzpireU

What you get with Accelerated Pods that you don't with a typical agency.

  • check_circleDeep AI bench across ML, GenAI, data and product
  • check_circleEnterprise-grade delivery with security & governance
  • check_circleDecision-system DNA - not just models, outcomes
  • check_circleNative integration with Growth Flow & InzpireU suite
  • check_circleIP-safe, transparent and audit-ready engagements
  • check_circleOutcome-aligned commercial models
  • check_circlePartner ecosystem across SAP, Workday, ADP & AWS
  • check_circleEthics, evals and responsible AI built in

Our goal: become the AI engineering partner your team wishes it had two years ago.

Tell us where you're trying to go. We'll bring the engineers, the playbooks and the decision-system thinking to get you there.

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