A library of components for shipping AI startups.
AIM gives founders, product teams and agencies a unified, opinionated stack of AI microservices — assembled visually, customised through a single API, deployed without DevOps.
Explore all componentsAI INFRASTRUCTURE FOR EARLY-STAGE STARTUPS
Compose your AI product from production-ready microservices, customise visually, deploy to your domain in one click. Skip the R&D loop entirely.
Single sign-on with OAuth providers, a unified user record and an admin console for every workspace on the platform.
Extensible user card with admin-defined global fields, custom field types and file uploads — created automatically on first sign-in.
The owner's cockpit — onboarding flow, business card from site scan, embedded chat editor and multi-account governance.
Central vault for provider API keys and model assignments per service, plus unified usage tracking across the stack.
Subscription plans, checkout (card and crypto), coupons and recurring charges — with a full admin dashboard and audit log.
Canonical business profile per chat — seeded from site crawl, refined step-by-step, piped into every AI agent as ground truth.
Embeddable AI chat with text, voice and 3D-avatar modes, live product cards, in-chat checkout and one-line shortcode install.
Compose an AI agent: pick a prompt, a model and the tools it can use — knowledge base, CRM, catalog, business profile, scenario.
System-prompt studio that blends user data, site scan and knowledge base into a ready-to-use instruction for an AI agent.
Curated sales intelligence per business type — structured insider knowledge that lifts agent answers from generic to expert.
Automatic site sweep that extracts business info, products and services — the starting point of every new account on the platform.
Visual form builder with public submission pages and personal-Gmail notifications — no third-party mail service required.
One-click WooCommerce bridge — a pre-configured plugin streams the live catalog to the platform on every product change.
Personal WhatsApp gateway via QR pairing with multi-tenant sessions, webhooks for inbound and a signed API for outbound messages.
Compact CRM for contacts, companies and interactions — and the only CRM an AI agent can read and write directly during a chat.
Visual blueprint editor for conversation logic — triggers, conditions and agent actions composed on a drag-and-drop canvas.
Multi-calendar scheduling with full two-way Google Calendar sync and a clean availability API for booking widgets and AI agents.
Per-user product catalogs with themes, revision cache and importers from site crawl and WooSync — powering agent recommendations.
Override layer for premium 3D avatars — map any chat to a custom GLB model without touching core chat logic.
The central launch pad — a fast, multilingual tile gallery linking directly to every module the operator is entitled to open.
Captures and transcribes every AI conversation so teams can analyse tone, surface common questions, and tighten the scripts that drive each flow.
In-room tablet app that gives every guest a branded concierge surface — messaging, room controls, menu and check-out in one screen.
A voice gateway that turns the front-desk phone into a 24/7 AI concierge — speech in, speech out, live language detection.
The canonical room and stay ledger — occupancy, guest, do-not-disturb, check-out time, plus a two-way bridge to the hotel PMS.
A real-time cleaning board that turns guest check-outs and DND windows into a prioritised work queue for housekeepers.
Guest-sentiment and noise-complaint radar — turns chat, call, and review signals into a per-floor risk score for the ops team.
A cross-stay loyalty ledger — points, tiers, and machine-readable benefits the concierge agent can cash in automatically.
A conversational check-out flow for hotels — confirms the folio, tips, and departure in chat or voice and hands the card charge to billing.
A themeable marketplace storefront — product cards, search, checkout cart, creator pages, all rendered server-side for speed.
A maker-side workspace for listings, photos, pricing and fulfilment — designed for non-technical creators, not enterprise sellers.
A ranking and fraud-signal engine for marketplaces — fuses order history, reviews, responsiveness and disputes into a live creator score.
A structured dispute workflow for orders — evidence capture, policy checks, AI-assisted arbitration and audit-grade outcomes.
A double-entry ledger for marketplace payouts — fees, holds, refunds, and creator balances, with clean reconciliation against the PSP.
A label-and-tracking service for marketplaces — one API across carriers, with rate shopping, pickup scheduling, and buyer-side tracking pages.
Auto-generated short-form video for marketplace products — listings become 15s reels ready for TikTok, Instagram, and the storefront.
Bridges the sales team's dialer — Aircall, Dialpad, Twilio — into the platform so every call is recorded, attached, and scored.
Joins Zoom, Meet, and Teams calls as a recording bot — transcribes, diarises, and hands the call to the sales brain for scoring.
An AI reviewer that scores every sales call — talk ratio, discovery coverage, objection handling, next steps — against the active playbook.
A workspace for authoring sales playbooks — stages, required moments, talk tracks, objection responses — consumed by the scorer and the coach.
A structured library of sales objections and proven responses, ranked by win rate and surfaced live during calls and coaching.
Per-deal momentum score — blends activity cadence, stage progression and call quality into a live health indicator for every opportunity.
Closes the coaching loop — picks the right call moments, drafts feedback, schedules 1:1 reviews and tracks improvement per rep.
A live revenue forecast driven by pipeline, momentum and call quality — updated on every activity, not once a quarter.
An embeddable restaurant reservation widget with live availability, party-size logic and deposit support — drops into any site with one line.
A voice gateway that answers the restaurant phone — takes bookings, answers questions, and leaves a full transcript.
A live floor plan and reservation ledger — tables, turns, holds, combine rules, and a timeline view the host actually uses during service.
Predicts no-show risk per reservation and triggers reminders, deposits, or waitlist promotion before a table goes dark.
A smart waitlist for walk-ins and sold-out slots — updates guests in real time over chat and voice, and auto-promotes as tables open.
A structured menu service — dishes, allergens, modifiers, prices, 86-ed items — driving the voice host, chat, and printed menus alike.
A kitchen load forecaster — turns the reservation timeline and menu mix into a per-station prep plan for the next service.
Auto-triggers review requests after a meal, aggregates public and private reviews, and feeds sentiment back to the menu and ops layers.
A patient-side portal for intake, appointments and secure messaging — HIPAA-minded defaults, multilingual UI, mobile-first.
OCR and structuring service for clinical intake — reads insurance cards, prescriptions, and lab reports into typed fields.
A clinician-reviewed symptom router — safe triage questions, rule-based escalation, and clear routing to the right specialist or queue.
Encrypted storage and access gateway for protected health information — field-level encryption, strong audit, strict access scopes.
Captures and records every consent — telehealth, data sharing, AI-assisted triage — with versioned text, timestamp and audit-grade storage.
A clinician-side queue with triaged cases, priorities and SLAs — the cockpit where clinical work actually happens.
PHI-aware messaging between patients and clinicians — content stored in PHIVault, strong auth, complete audit trails.
The agent-side cockpit for a real-estate brokerage — listings, buyers, tours, offers and comms, all in a single pane.
A buyer-side portal to browse listings, book tours, ask questions and track offers — with the agent a tap away at every step.
Composes rich real-estate listings from MLS data, photos and comps — auto-generates descriptions and exports to channels.
Runs the offer-and-counter pipeline — structured offers, tracked negotiations, e-sign integration and audit-grade history.
Comparable-sales engine — fetches recent comps, weights them and powers the listing forge and offer desk with pricing signal.
Neighbourhood insight layer — schools, commute, amenities, and sales heat — rendered on listing cards and buyer views.
Wraps DocuSign and similar e-sign providers in a clean API — field mapping, reminder cadence, audit trail and state webhooks.
Runs open-house events end to end — QR sign-in, tour recording, follow-up and cross-listing upsell.
A fashion-first storefront — editorial layouts, rich media, size guides, and a cart tuned for boutique selling.
A per-shopper fit profile — measurements, preferences, past fits — used for size guidance and outfit recommendations.
A style-aware recommendation engine — learns outfit combinations from the lookbook and shopper fit to suggest relevant buys.
A stylist workspace to compose, photograph and publish outfits — feeds lookbook, product pages and recommendations in one move.
Predicts and reduces returns — fit signal, outfit cohesion and post-purchase coaching feed each shopper's next decision.
A fashion-grade media CDN — serves heavy imagery, looks, and video clips with fast variants for every device.
A seasonality engine — trend signals, weather windows and sell-through trajectories surface what to push next.
A web-based podcast studio — guest invites, lossless recording per track, and live chat during the session.
A mobile companion for field recording — lossless capture, offline-tolerant, syncs straight into the studio pipeline.
A transcript-first script workspace — outlines, show notes, chapter markers, and export-ready scripts from the raw recording.
Cleans and masters podcast audio — noise suppression, level matching, and consent-gated voice synthesis for pickups.
Marks ad-break points and splices dynamic ads — keeps per-listener inserts clean while preserving chapter and script sync.
Publishes episodes as standards-compliant RSS feeds — chapter support, transcript links and per-platform metadata.
Podcast-grade analytics — per-episode drop-off, chapter engagement, geography and platform breakdown, IAB-compliant counts.
Matches sponsors to episodes and slots — pricing, pacing, exclusivity and reporting, wired into the splicer.
Auto-generates short-form video clips from podcast episodes — captions, waveforms and branded templates, ready for social.
The lawyer-side cockpit — matters, clients, documents, deadlines and billables — linked and searchable in one pane.
A client-side portal for a law firm — secure messaging, document review, e-sign and invoice payment on a phone.
Routes new legal intakes to the right practice area — triage questions, conflict checks and jurisdiction filters before anyone calls.
Conflict-of-interest scanner — reads prospective clients and parties against the firm's matter history, before a matter is opened.
An audit-grade ledger of every matter — parties, documents, deadlines, time entries, fees — immutable once logged.
A curated library of legal clauses — versioned, jurisdiction-tagged, and surfaced inline during document drafting.
Captures billable time and fees per matter — passive tracking, review prompts, and export-ready invoices.
A legal-grade e-sign inbox — documents in flight, signer status, reminders, and audit trails per matter.
Monitors court dockets and filings relevant to the firm's matters — alerts, docket history and deadline sync.
The client-side mobile app — today's workout, video guidance, logging, and a direct thread with the coach.
The coach-side dashboard — clients, plans, check-ins, and progress — all linked and searchable in one console.
The training-plan engine — exercises, progressions, per-client adaptation and long-term periodisation.
Runs the live workout — timers, set prompts, auto-progression — and logs to the plan and body-comp systems.
Tracks body composition, measurements and progress photos — turns them into a clean trend feed for plan adaptation.
A lightweight nutrition loop — targets, quick logging, check-ins — that nudges without becoming a food diary.
Optional per-coach community space — supportive, coach-moderated, with opt-in progress sharing and milestone highlights.
Auto-generated, consent-gated progress summaries — a shareable reel that turns months of logs into a clean before/after.
An outbound voice gateway that places calls at scale — carriers, SIP trunks, caller-ID pools and recording hooks in one operable surface.
A persona bank of realistic multilingual voices with live A/B assignment — so every doctor hears a voice that matches their language, region and historical engagement.
A medical-grade messaging service — WhatsApp and SMS — that delivers short, specialty-matched touches with consent-aware templates and short-link tracking.
The planner that decides, per doctor, what touch comes next — voice, WhatsApp, nothing — based on prior response, pickup window and consent state.
A living profile graph of every doctor — specialty, institution, language, past attendance, topics of interest — richer than CRM and shared across voice, messaging and reporting.
A matcher that maps each webinar track to the doctors for whom it is clinically relevant — so a cardiologist never receives a paediatric-sleep invitation.
A per-doctor timing model that learns which days and hours a given doctor actually picks up the phone — so calls are placed when they are welcome.
A social-proof engine that composes truthful peer strings — "seven other cardiologists from your hospital are registered" — from real data, at call time.
The webinar registry — topic, faculty, clinical track, Zoom link, capacity, sponsor — shared by the agent, the matcher and the reporting dashboards.
A live-attendance tracker that watches the webinar room and the doctors registered — so no-shows trigger a follow-up and attendees get a post-session NPS call.
FIG 1.A · AIM ENGINE 2.0 — LIVE PREVIEW
Every component becomes a node on the canvas. Wire triggers to models, guards and outputs — then deploy the graph as a live API endpoint. What you see is the runtime.
COMPATIBLE WITH THE MODERN AI ECOSYSTEM
AIM gives founders, product teams and agencies a unified, opinionated stack of AI microservices — assembled visually, customised through a single API, deployed without DevOps.
Explore all componentsBuilding an AI product from scratch in a fast-changing market is an expensive race. Six structural traps hold teams back.
Months spent wiring infrastructure are months your competitors use to capture the market.
Models, tooling and customer expectations move weekly. Hand-built stacks struggle to keep up.
Your roadmap is bottlenecked by the speed and seniority of the engineers you can actually hire.
Burn accumulates long before the product touches a paying customer or proves a hypothesis.
Every enterprise wants something unique. Manual customisation kills your unit economics.
Once live, the system needs round-the-clock observability that nobody on the team wants to own.
AIM compresses the path from idea to live product. Six advantages your competitors literally cannot replicate by writing more code.
Production-ready building blocks snap together. Development speed your competitors cannot match by hiring more engineers.
A unified configuration system designed for constant change — extend, swap, override without breaking what works.
Operators and product managers compose products directly. Specialist hires become a choice, not a blocker.
Subscription tiers for any budget plus a WhiteLabel certificate to ship under your own brand from day one.
Reconfigure flows in minutes. Validate hypotheses on real users before you invest in custom code.
Continuous component upgrades and round-the-clock smoke tests keep every deployment honest while you sleep.
A linear path designed for non-technical founders. Each step is reversible — you never lock in early decisions.
Pick a plan sized to your team and ambition. Upgrade or downgrade any time without re-platforming.
Browse the catalogue of microservices. Preview, configure and rearrange your product in real time.
Compose the entire experience without writing code. Every component is opinionated and battle-tested.
When you outgrow defaults, drop into the AIM API. Override any behaviour without forking the platform.
Choose a curated theme or define your own. Typography, colour, motion — all WhiteLabel-ready.
Push to your Git of choice and ship to production hosting in a single click. No DevOps required.
Two plans, both with a 14-day free trial and a WhiteLabel certificate from day one. Upgrade or cancel any time.
For solo founders and small teams shipping their first AI product.
For agencies and growing teams running multiple AI products in parallel.
Every layer of AIM Engine is engineered for speed, customisation and reliability — so you spend zero time wiring infrastructure and 100% of your time on product.
A versioned catalogue of production-ready microservices. Every block ships with config, docs and tests.
Drag, configure, preview. The editor renders the exact runtime — what you see is what your users get.
When defaults aren't enough, override any component behaviour through a single, consistent API surface.
Typography, palette, motion and copy — every surface is themable down to the component level.
Push to Git, deploy to AIM hosting or your own infrastructure in a single click. Reversible by design.
Continuous AI-driven smoke tests catch regressions in production before your users do.
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Free 14-day trial. No credit card. WhiteLabel from day one.
OUR VISION
Imagine composing, theming, deploying and monitoring an AI product from a single canvas. A future where launching a new vertical takes a weekend — not a quarter.
Read the manifesto