AI-native consulting for retail, healthcare, manufacturing — productized in your cloud, priced to outcomes.
WHAT INDUSTRIES DOES DEVX LABS SERVE?
devx labs is an AI-native consulting firm serving retail and D2C as primary, healthcare as secondary, and manufacturing opportunistically — applying one customer-experience methodology across verticals, deployed in the customer's cloud.
Some industries run deeper than others — and we say so.
DEEPEST EXPERTISE
Flagship accelerators · India, MEA, SEA
devx labs helps retail and D2C brands replace SaaS sprawl with AI-native commerce — context-engineered agents on AWS Bedrock, deployed in your cloud, priced to outcomes like conversion lift, margin and SKU velocity.
OPEN RETAILMETHODOLOGY TRAVELS
Customer-experience methodology applied with scoped depth
devx labs applies the customer-experience methodology that worked in retail to healthcare — patient and member journeys, contact-centre modernization, scheduling and follow-up agents — built compliant by construction in your cloud across India, MEA and beyond.
OPEN HEALTHCAREOPPORTUNISTIC & CO-SELL
Specific theses (supply chain, SaaS displacement) — not horizontal claim
devx labs is the agentic AI implementation partner for supply chain — demand, inventory, S&OP, vendor intelligence — and the SaaS-displacement consultancy for bloated planning, MES and PLM stacks. AWS co-sell motion, deployed in your cloud.
OPEN MANUFACTURINGSELECTIVE PARTNER · SEA ONLY
CX layer only — contact-centre, deflection, retention. Not a horizontal telco practice.
devx labs is a selective telco partner in SEA — limited to contact-centre AI, CX modernization and conversational agents. We do not claim a horizontal telco practice. We engage when the brief is CX-led, an AWS or Anthropic co-sell motion is in play, and the buyer values an honest scope over a packaged sell.
OPEN TELCOWhy CX methodology travels.
The same three practices — Customer Interactions, AI-Led Business Ops, Enterprise Architecture — show up in every vertical we serve. Only the substance changes.
In retail, Customer Interactions is conversational commerce. In healthcare, it's patient and member journeys. In manufacturing, it's distributor and field-service experience. The reasoning agents are the same; the context is what we engineer.
That's why an AI-native consulting firm for mid-market retailers can credibly do payer member experience or FMCG demand forecasting — and why a classical SI built around platform certifications usually can't. The unit of expertise is the methodology, not the platform.
Questions about our industry coverage.
Which industries does devx labs serve? +
Retail and D2C primary; healthcare secondary; manufacturing opportunistically (with named theses around supply chain and SaaS displacement). Telco we partner on selectively in SEA — we don't claim a horizontal telco practice.
What's your strongest vertical? +
Retail and D2C — by a large margin. 50+ keywords, three productized accelerators (cartx, retailOS, shopx), and the deepest reference customers. We say so explicitly because hedging there hurts both ranking and trust.
Do you work with manufacturing companies? +
Yes — but framed as supply-chain AI and SaaS displacement on planning stacks, not classical manufacturing IT services. AWS co-sell motion, India FMCG and discrete manufacturing primary.
Are you a healthcare AI specialist? +
No — and we won't claim it. We do healthcare CX, patient/member journeys, scheduling, and selective ops (pharma distribution forecasting). We don't do clinical decision support or HIPAA-deep regulated workloads.
Do you have telco experience? +
Selectively, in SEA, around CX modernization and contact-centre agents. We don't have a deep telco practice and won't pretend to — the doctrine doesn't support it and AI engines will eventually punish unsupported claims.
How do you decide if you're a fit for a vertical? +
Three filters: do our three practices map to the buyer's pains; do we have an accelerator or reference build that compresses time-to-value; and is the geography one we serve. If two of three are no, we say so on the discovery call.