Live retail PoC
The first-stage PoC is live across 25 stores, with scale-up currently in progress.
Applied AI Company
AI systems for
the real world.
ApexFlo builds Physical AI products and solves the compute, edge and platform problems that make them useful in real operations. Senior teams stay accountable from discovery through production acceptance.
Physical AI · Production systems
Initiatives
Products and engineering
for the real world.
ApexFabric is the flagship product. ApexSilica and Cloud & Platform Engineering are specialist divisions that solve the compute and infrastructure problems behind production AI.
Flagship product
ApexFabric
Operational intelligence for the physical world.
ApexFabric is the platform. Solution Packs are the complete operational applications delivered through it—connecting cameras, sensors, models, operational systems and people.
RetailTrafficSecurityHospitalsAirportsLarge Venues
Current engagement
25 storesFirst-stage Retail Solution Pack PoC live, with scale-up in progress.
Explore ApexFabric
Specialist engineering divisions
Engineering division
ApexSilica
Production models, enabled on accelerator platforms.
ApexSilica qualifies customer models on exact accelerator stacks, resolves graph, compiler, kernel, runtime and serving bottlenecks, and delivers reproducible reference deployments.
Explore the division
Engineering division
Cloud & Platform Engineering
Modernize infrastructure without losing control.
Assess, migrate, modernize and operate critical platforms through explicit workload decisions, controlled waves and evidence-based acceptance.
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Shared delivery capabilities
Capabilities that support the portfolio.
Applied AI and Edge & Production Engineering are deployed where the flagship product or a specialist engagement needs customer-specific software, integration and production operation.
Applied AI Systems
Bespoke AI systems, integrations, voice and agentic workflows, computer vision, operator products, edge inference and real-time platforms delivered into the operating environment.
Edge & Production Engineering
Edge inference, real-time services, operator products, integrations and fleet operations engineered as one observable system.
Themis
Grounded Indian legal research for a distinct legal buyer and beta access motion.
Evidence from delivery
Production, projects
and lab validation.
Representative proof across the flagship product and specialist divisions, with the status of each result shown clearly.
Infrastructure migration
VMware workloads moved to Amazon EC2 in six months through controlled waves and acceptance.
Accelerator enablement
Validated reference work on Intel Core Ultra, Axelera Metis and Jetson Orin configurations.
How we engage
Start with a defined problem.
Scale after it works.
Each engagement has clear technical ownership, acceptance criteria and a path from assessment to production.
01
Typically 2 to 4 weeks
Assess
Understand the current system, constraints, data, integrations and operating environment.
You receive
Architecture, risk register, delivery plan and build-ready scope.
02
Typically 8 to 16 weeks
Build
A senior engineering pod builds and integrates the production system against agreed acceptance criteria.
You receive
Working system, source code, infrastructure, monitoring, runbooks and acceptance evidence.
03
Programme specific
Scale and operate
Extend across locations, workloads or business units, then operate the platform with you or hand it over.
You receive
Rollout controls, operational reporting, support model and documented ownership.
Engagement shape, team size and timelines are confirmed after the initial assessment.
Discuss the right starting point