NEWNow shipping: ACP · Google UCP · Retail MCP integrations
MnT Future
Custom commerce platforms · US brands

Shoppers are starting to buy inside AI assistants. Can they buy from you?

We engineer custom commerce platforms for US brands: storefronts, marketplaces, B2B, and the integrations behind them. Senior engineers end to end, no juniors on client work. And built so an AI agent can read your catalogue, trust your stock and price, and finish a checkout on its own: what ACP, Google UCP and Retail MCP make possible.

29 checks, a letter grade in seconds, no email needed for the score. If your store is already in good shape, the report will say so.

mntfuture.com
AI-native commerce platform
Agent-readyscanning_
1Reads your catalogueFeed
2Trusts your stock and priceSync
3Finishes the checkoutACP
4Order placedDone
AI-native and agent-ready: built to sell to people and to AI.
What we build to
01Built to WCAG 2.2 AA
02PCI DSS v4.0.1 scope minimised
03Sales-tax engine integrated
04SOC 2-aligned controls
Trusted to engineer revenue-critical commerce for US brands
AI-native
Search, recs, assistants & agents built in
Agent-ready
ACP · Google UCP · Retail MCP
US-ready
Built to ADA/WCAG · PCI scope minimised · sales-tax engine
100%
Senior-engineer delivery
Official partners & developer programs
AWS logoAWSOfficial PartnerGoogle Cloud logoGoogle CloudOfficial Partner
ShopifyOfficial Partner
AnthropicClaude Partner Network
NVIDIADeveloper Program Member
OpenAISelect Partner
What we build01 / 06

Commerce platforms, with the AI layer built in.

The platform is the product. Search, agent-readiness and agents ship as part of it, and two of them also work on the store you already run.

6 services
Commerce Platforms

Commerce platform development

Custom platform & marketplace builds, integrations & automation, B2B/wholesale, and managed commerce, built to ADA/WCAG with PCI scope minimised and the sales-tax engine integrated. Plus AI cleanup when an MVP broke at scale.

Explore commerce platforms
3 services
The AI layer

AI & agents for commerce

AI search, recommendations and a shopping assistant, agent-ready commerce (ACP/UCP/MCP), and agents that do real work. Part of every platform we build, and two of the three work on the store you already run.

Explore AI & agents
Why MnT Future02 / 06

The reasons founders pick us, and stay.

Specialist depth, compliance built into the architecture, AI where it counts, and the speed of a senior team.

01

AI-native by default

AI search, recommendations, assistants, and agents: built into the product where they lift revenue and gated behind evaluations. Not a bolted-on chatbot.

02

Ready for the agent channel

ACP, Google UCP, and a Retail MCP server make your store discoverable and buyable by AI shopping agents: an emerging $900B to $1T channel. Do you know whether anyone in your category is transactable inside an AI assistant yet? The free scan answers that.

03

US compliance engineered in

Built to ADA/WCAG, architected to minimise PCI DSS v4.0.1 scope, and the multi-state sales-tax engine integrated from day one: the obligations that start the moment a US store goes live.

04

Land small, expand big

Start with a productized pilot that proves ROI in weeks, grow into a dedicated pod, and expand into a full platform build: senior engineers the whole way.

Engagement models03 / 06

Work with us the way your stage demands.

01

Land

A productized paid pilot that proves ROI in weeks: AI Search & Recommendations, AI Cleanup, an agent-readiness audit, or a fast Shopify store build. Small scope, fast proof.

Fixed, focused scopeLive in weeksClear, measured outcome
02MOST POPULAR

Grow

A dedicated senior pod working as your embedded product team on a monthly retainer: flexing scope sprint to sprint.

Senior engineersSprint flexibilityScales up or down
03

Expand

A full platform build (custom store, marketplace, or B2B) engineered to scale, plus custom AI agents and a managed SLA.

Full platform buildsAI agents & automationManaged & maintained
Selected work04 / 06

Real platforms, shipped.

Live products we've designed and engineered end to end.

See all work
01 — Case studyLia Fashion: A fashion boutique selling online and over the counter, on one stock pool. Web store, admin, in-store POS and supplier purchasing in a single Laravel platform.
Client platform · India · Fashion D2C + in-store POS

Lia Fashion

A fashion boutique selling online and over the counter, on one stock pool. Web store, admin, in-store POS and supplier purchasing in a single Laravel platform.

Read the case study

Your platform here next?

Book a free strategy session: we'll show you exactly how we'd build it: database design, APIs, scalability plan.

Book a strategy session
Receipts, not testimonials05 / 06

Numbers from builds you can inspect.

No invented quotes. Every stat below comes from a public case study, so you can judge the work itself.

1 stock poolWeb store and in-store POSLia Fashion case study →154API endpoints across 25 admin modulesLia Fashion case study →Colour × sizeStock and price held per variantLia Fashion case study →Liveliafashion.inLia Fashion case study →61Data models across one platformLeats case study →Raw → cutsYield tracked with cost and wastageLeats case study →Own fleetPartner app, zones, live trackingLeats case study →Liveleats.inLeats case study →Next.js 16React 19, TypeScript, App RouterSai Nandhini Tasty World case study →56API route handlersSai Nandhini Tasty World case study →Weight slabsShipping priced by destinationSai Nandhini Tasty World case study →Livesntasty.comSai Nandhini Tasty World case study →0Store changes the agent made without a human approvalMnT Commerce case study →4/4Semantic queries ranked correctly after fixing the catalog text (was 2/3)MnT Commerce case study →7Custom modules on the commerce engine: zero forks of itMnT Commerce case study →1 fileWhat changes to re-brand the whole platform for a clientMnT Commerce case study →1 stock poolWeb store and in-store POSLia Fashion case study →154API endpoints across 25 admin modulesLia Fashion case study →Colour × sizeStock and price held per variantLia Fashion case study →Liveliafashion.inLia Fashion case study →61Data models across one platformLeats case study →Raw → cutsYield tracked with cost and wastageLeats case study →Own fleetPartner app, zones, live trackingLeats case study →Liveleats.inLeats case study →Next.js 16React 19, TypeScript, App RouterSai Nandhini Tasty World case study →56API route handlersSai Nandhini Tasty World case study →Weight slabsShipping priced by destinationSai Nandhini Tasty World case study →Livesntasty.comSai Nandhini Tasty World case study →0Store changes the agent made without a human approvalMnT Commerce case study →4/4Semantic queries ranked correctly after fixing the catalog text (was 2/3)MnT Commerce case study →7Custom modules on the commerce engine: zero forks of itMnT Commerce case study →1 fileWhat changes to re-brand the whole platform for a clientMnT Commerce case study →
3Apps shipped (2 native + web)LOBBI case study →Real-timeLive slot availabilityLOBBI case study →CashfreePayments & payoutsLOBBI case study →LiveOn Google PlayLOBBI case study →20 → 6Open on-page issues after the first AI fix pass (−70%)Searchlight case study →5Agent roles: 2 LLM, 3 deterministicSearchlight case study →100%Fixes gated by typecheck + production buildSearchlight case study →17Pages monitored on every runSearchlight case study →7 → 0Failing axe nodes after remediationWCAG 2.2 AA case study →9Key pages scanned: all now violation-freeWCAG 2.2 AA case study →4Root causes: fixed in the design systemWCAG 2.2 AA case study →0Overlay widgets usedWCAG 2.2 AA case study →7 → 0Security findings (2 critical → 0)AI Cleanup Lab case study →5/5 → 0/5Live exploits that landedAI Cleanup Lab case study →~48×Throughput after re-architectureAI Cleanup Lab case study →~50×Lower p99 tail latencyAI Cleanup Lab case study →3Apps shipped (2 native + web)LOBBI case study →Real-timeLive slot availabilityLOBBI case study →CashfreePayments & payoutsLOBBI case study →LiveOn Google PlayLOBBI case study →20 → 6Open on-page issues after the first AI fix pass (−70%)Searchlight case study →5Agent roles: 2 LLM, 3 deterministicSearchlight case study →100%Fixes gated by typecheck + production buildSearchlight case study →17Pages monitored on every runSearchlight case study →7 → 0Failing axe nodes after remediationWCAG 2.2 AA case study →9Key pages scanned: all now violation-freeWCAG 2.2 AA case study →4Root causes: fixed in the design systemWCAG 2.2 AA case study →0Overlay widgets usedWCAG 2.2 AA case study →7 → 0Security findings (2 critical → 0)AI Cleanup Lab case study →5/5 → 0/5Live exploits that landedAI Cleanup Lab case study →~48×Throughput after re-architectureAI Cleanup Lab case study →~50×Lower p99 tail latencyAI Cleanup Lab case study →
06 — FAQ06 / 06

Questions buyers ask us first

Short, direct answers on agent-ready commerce, ACP, and how we work.

Agent-ready commerce means AI shopping agents, like those in ChatGPT and Google: can discover your products, trust your price and inventory data, and complete a purchase. MnT Future makes your store agent-ready with structured product feeds, real-time sync, and the ACP, UCP, and MCP integrations agents use to buy.

MnT Future builds AI-native, agent-ready commerce platforms for US D2C and marketplace brands: custom storefronts and marketplaces, integrations and automation, B2B/wholesale, and managed commerce with US compliance, plus AI search, custom AI agents, and agent-readiness.

ACP is an open standard from OpenAI and Stripe that lets AI agents complete purchases on a shopper's behalf. MnT Future implements ACP, Google's UCP, and a Retail MCP server so your store can be discovered and bought from in AI channels.

Our focus is US D2C and marketplace brands, where our compliance depth: ADA/WCAG, PCI DSS v4.0.1, and multi-state sales-tax, and our agentic-commerce work are sharpest. We have also built and shipped commerce platforms for clients elsewhere, and you can see those on our work page.

Both. As an official Shopify Partner we launch fast, conversion-ready Shopify stores when speed matters. Our flagship is custom AI-native commerce: if you can spec it, we can build it, and because the same team builds both, Shopify clients graduate to a custom platform when scale demands, without a re-platform trauma.

Start with a free strategy session or a free agent-readiness audit. We sketch how we'd build it, or assess your AI-channel readiness, and give you a clear next step: no obligation.

Next step

Tell us what you're building. We'll show you how we'd build it.

A free strategy session with a senior consultant: data model, APIs, and a scalability plan. Or a free agent-readiness audit of your store.