DigiPlanetFrom use case to production. In weeks. Without hiring a permanent team first.
AIForce Multiplier gives you focused AI execution capacity on demand: a fixed-tenure pod with every skill needed to validate, build, deploy and run your use case — with clear ownership of the outcome, not just the hours delivered.
AICore Builder readies your data foundation. AIForce Multiplier builds on it to ship the use case. Start with either — they are designed to hand off cleanly.
What a pod can ship for you
Use-case discovery
Your highest-value, genuinely practical AI opportunities, tied to business outcomes.
RAG & copilots
Retrieval systems built on your governed content, not generic chatbots.
Predictive analytics
Demand, risk, maintenance, cost and customer forecasting on your data.
ML deployment
Models built, tested, deployed and monitored with real MLOps discipline.
Workflow automation
Your repetitive knowledge, reporting and decision-support work, automated.
AI governance
Review, control, monitoring and ownership models for everything the pod ships.
Who's in your pod
The pod vs. the usual way
How an engagement runs
Discover
Your use case, expected value, data needs and risk profile.
Design
Architecture, model approach, workflow and success metrics you sign off.
Build
Prototype, pipeline, model, interface or automation.
Deploy
Production handover, monitoring, governance, improvement backlog.
AIForce Multiplier FAQ
Ship your AI use case in weeks.
A fixed-tenure pod that owns the outcome — no permanent team build, no lock-in.