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AI-Enabled Engineering for

Consumer Electronics

Consumer electronics runs on catalogs with millions of SKUs, device fleets that phone home and retail channels that punish bad data. We bring generative and agentic AI to that world engineered to production grade, with CMMI Level 5 discipline.

Talk to an Expert See Electronics Journeys
CMMI Level 5 Appraised ISO 27001:2022 SOC 1 & SOC 2 Type 2 Human-in-the-Loop AI
Devices & IoT
Connected products, firmware ecosystems and fleets
Connected Platforms
Cloud platforms, product data and integrations
Retail & After-Sales
Channels, content, POS and support operations
Six problems electronics leaders bring us most
Every area below is delivered as a working system in your environment, engineered for catalog volumes, device fleets and retail peaks from the first sprint, not patched for them later.

Cloud platforms that connect devices, users and services into one operating ecosystem your product line can grow on.

  • Cloud platform architecture for connected devices
  • Device, service and app integrations
  • Engineering for scale, reliability and secure operation

One harmonized product ontology across SKUs, variants, suppliers and channels, built for AI to consume as readily as your systems.

  • Catalog and attribute harmonization at scale
  • Semantic and LLM-layer product matching
  • Pricing and channel data normalization

Product imagery, descriptions and channel content generated on demand instead of produced over months.

  • On-demand AI product imagery
  • Channel-ready content generation
  • Brand and accuracy review workflows

Clean, validated product data flowing to stores and POS, with AI catching errors before they reach a shelf or a screen.

  • AI validation before data reaches the POS
  • Cloud signage and channel integration
  • Launch data live in minutes, not days

AI-assisted triage and resolution across device support, keeping ticket volumes falling as the installed base grows.

  • AI-assisted triage and routing
  • Knowledge-grounded support assistants
  • Resolution ahead of the ticket

AI-driven test generation across firmware, apps and cloud, for release confidence at consumer scale.

  • End-to-end test architecture across the ecosystem
  • AI test generation for deeper coverage
  • Automation woven into release pipelines
Proof at product scale
Anonymized engagements from live systems, with origins labeled honestly: where a journey was delivered in an adjacent industry, we say so, because the problem shape and the engineering are the same. Client names protected under NDA.

Smart Home & IoT · Cloud Platform for Smart Home Solutions

The Challenge

  • A growing fleet of connected home devices
  • Device, user and service data across many touchpoints
  • A platform expected to scale with the product line

Our Approach

  • Cloud platform architecture for connected devices
  • Device and service integration across the ecosystem
  • Engineering for scale, reliability and secure operation

Outcomes

A cloud platform running
smart home operations in production
A foundation that scales
with the device portfolio
Engagement details
available under NDA

Product Data · Delivered in Food Services · Catalog Harmonization at Extreme Scale

The Challenge

  • The same product described differently across every source
  • Manual, time-intensive matching across catalogues and formats
  • Complex pricing across millions of combinations

Our Approach

  • Document processing capturing product and pricing data at scale
  • Attributes normalized to a unified ontology
  • Product matching with attribute, semantic and LLM layers

Outcomes

14M+ products and
191K+ customers harmonized
10X
faster pricing execution
60% reduction
in cloud infrastructure cost
RFP response time
from 3 weeks to 3 days

Retail AI· Delivered in Food Services · Point of Sale AI and Product Imagery

The Challenge

  • Manual, error-prone product data entry
  • Product imagery slow and costly to produce
  • Bad data driving support tickets

Our Approach

  • AI validation of product data before it reaches the POS
  • AI imagery generated on demand
  • Cloud signage and POS integration

Outcomes

New items live
in minutes instead of days
Imagery in minutes
instead of months
50%
reduction in IT support tickets
Built for products that ship at consumer scale
Consumer electronics is where product complexity meets retail velocity. Our delivery model was built for exactly that pace.
01

Production-Grade Delivery

CMMI Level 5 process maturity, ISO 27001 and SOC-aligned controls run through every engagement by default.
02

Human in the Loop, Always

Agents draft, extract and propose. Your SMEs and reviewers approve. Nothing reaches production on model confidence alone.
03

Scale as a Design Input

Catalog volumes, device fleets and seasonal retail peaks are designed for from the first sprint, never discovered in production.
04

Production, Not Pilots

The systems in the journeys above run daily operations for live clients today. Working software is our standard, not the pilot.
The short version of how we engage
Four phases, one continuous journey. The path advances on its own; click any phase to explore what happens there and what you keep.

Discover

One high-impact electronics use case, chosen with your teams, with a value case leadership can sign.

Design

Architecture, data readiness and responsible AI guardrails agreed before production code.

Build

Working software in your environment, with evaluation and security from sprint one.

Run & Scale

Production rollout, adoption support and a prioritized queue of next use cases.
See the full interactive roadmap on our homepage
The product conversation, up front
The questions every product, engineering and IT stakeholder raises in the first meeting, answered before the first meeting.

Yes. We build platform-native in your accounts and integrate with the device, commerce and data systems you already run.

Generation runs behind review workflows: your brand and accuracy checks approve before anything reaches a channel or a shelf.

That is what harmonization at the ontology level is for: attribute, semantic and language-model matching built to reconcile sources that never agreed before.

Peak load is treated as a requirement, not an incident: capacity, testing and monitoring are planned against your launch calendar.

Our test generation and automation plug into the pipelines you already run, so coverage deepens without slowing your release train.

Bring production-grade AI to your devices, catalogs and retail operations
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