What We Can Build For You
We don't sell hours.
We build and ship products, for our portfolio and for clients.
Every capability here runs in production across our portfolio (SATE, our verification engine, is in early access). We build nothing we haven't already shipped, scaled, and operated ourselves.
Start a conversation →An autonomous sales intelligence engine, built and running in your WhatsApp channel.
Maktabi's outreach platform is not a chatbot. It is a layered, self-improving AI system with 208 production service components orchestrating every inbound message in real time. We can embed this architecture into any B2B or B2C product.
Multi-model reasoning pipeline
Three AI models work in parallel per message: a fast reasoning model (GPT-4o-mini) for intent and sentiment classification, a deep reasoning model (DeepSeek-R1) for strategy and qualification, and a creative model (GPT-4o) for empathetic, context-aware response generation. Each turn runs the right model at the right cost.
Persona, sentiment & emotional state detection
Every lead is profiled in real time: their role (owner, agent, accountant, decision-maker), detected persona type (skeptic, trust-seeker, risk-averse, early adopter), language (Arabic, English, Urdu, Tagalog, all AI-detected, not rule-based), emotional state (derived from the last 5 sentiment readings), and emotional intensity on a 1–10 scale. Responses adapt accordingly.
12-state conversation state machine
Every conversation exists in one of 12 governed states: nurture, soft_close, recover, retain, close_now, disengage, deal_close, agency_convert, churn_prevent, and more. State transitions follow strict rules enforced by a dedicated governance service (no "vibe-based" decisions). Every transition is logged with timestamp, reason, and prior state history.
Real-time prediction engine
A feature-vector-based prediction model computes conversion probability, churn probability, upsell probability, appointment probability, and discount interest per turn, cached for 5 minutes, invalidated on signal change. A/B testing variants are assigned per conversation, and outcomes feed back into strategy weights via the Adaptive Learning Engine.
Objection handling with adaptive reweighting
14 objection categories (price, timing, trust, need, competitor, authority, complexity, features, data privacy, and more) each have dedicated rebuttal strategies. Strategies load adaptive weights from the real-time optimisation engine: if a tactic performs poorly, its weight decreases automatically and a softer approach is preferred. The system learns what works on your audience.
Revenue engine: ARME
The Autonomous Revenue Maximisation Engine runs on every inbound: upgrade probability prediction, revenue risk scoring, urgency classification, opportunity detection, discount decision logic (with sentiment and sentiment guards, no discount offered if emotional_state is anger), and CTA selection. Discounts are one-use per conversation and require minimum onboarding progress before activation.
Sales acceleration layer
Intent detection, urgency classification, objection bypass generation, pitch generation, and directive decision run in sequence per message. Directives include accelerate, cta, micro_pitch, urgency_push, and objection_bypass, each generating a different tone and CTA. The system knows when to push and when to wait.
Voice message transcription and vision analysis
Leads who send audio notes have their messages transcribed using OpenAI Whisper, cleaned by a bilingual cleanup service, and fed into the same orchestration pipeline. Images (receipts, documents, property photos) are analysed by GPT-4o Vision and classified, enabling fully autonomous document-based conversations without human review.
Qualification pipeline
Six services work together to build a real-time lead profile: IndustrySegmentationEngine (classifying as agency, property_manager, landlord, tenant, or general_consumer), QualificationFieldExtractor (location, budget range, number of units, rental frequency, property type, urgency, timeline), QualificationGapDetector, SmartQuestionGenerator, RealTimeQualificationEngine, and QualificationFlowDirector. The pipeline knows what it has and what it still needs, and asks for it naturally, one field at a time.
Churn prediction, contract renewal & referral engines
Dedicated engines handle the post-conversion lifecycle: ChurnPredictionEngine (predicts early, mid, and late-stage churn risk), ChurnPreventionOrchestrator (intervenes proactively before loss), RenewalCampaignService and RenewalTimingOptimizer (maximise renewal conversion at the right window), and ReferralDetectionService (identifies satisfied customers who are likely to refer and triggers a referral outreach sequence automatically).
Quality, hallucination prevention & anti-repetition
Before any message is sent: VerificationAgent checks it for factual accuracy, PersonaAdaptationAgent adjusts tone to the detected persona, FeatureRenderer intercepts feature-inquiry intents and renders truth-locked responses (preventing the LLM from inventing features), and RepetitionHandlingService ensures no message pattern repeats within a conversation. Every outbound is audited before delivery.
Adaptive learning: the system gets smarter per deployment
The AdaptiveLearningEngine records PerformanceSignals for every strategy outcome (positive: conversion, appointment scheduled, objection resolved; negative: churn, escalation, unsubscribe). Strategy weights are recalibrated daily. After 30 days, the system's conversion strategy is tuned to your specific audience, not a generic dataset.
Multi-tenant, audit-grade, production-ready. Not a prototype.
Every product we've built runs in production for paying customers (SATE, our verification engine, is in early access). We know what breaks at scale and have already fixed it.
Multi-tenancy
Full data isolation per organisation, tested against cross-tenant leakage. Every query scoped at the model level. Filament admin panel with per-tenant context enforcement.
Webhook architecture
Production-grade inbound and outbound webhook pipelines with retry logic, signature verification, queue-based processing, and dead-letter handling.
Payment integration
Payment gateway integration (Tap in production) with settlement reconciliation, VAT-compliant receipt generation, compliant e-invoicing, and subscription billing lifecycle management.
Queued job pipelines
Laravel Horizon-managed queue infrastructure with priority lanes for time-sensitive jobs (payment confirmations, message dispatch) and background lanes for analytics and learning cycles.
WhatsApp Business API
Full 360dialog integration: inbound routing, template management and approval monitoring, 24-hour session management, voice message ingestion, media download, and broadcast campaign tooling.
Decision science built in
Not dashboards, decisions. Bayesian goal-attainment forecasting with Monte Carlo simulation, difference-in-differences causal ROI, and scheduled disparate-impact bias audits ship inside our products. Wudd predicts month-end attainment and measures recognition's real effect on retention, it doesn't just draw a progress bar.
Audit-grade logging
Every state change, decision, transition, and AI output is logged with structured context. Full replay capability for debugging any conversation or transaction at any point in history.
We ship native mobile apps
Wudd, Brotions, and Maktabi run as native iOS and Android apps, live on the Apple App Store and Google Play. FleetCheeta's driver app is in testing. Built in Flutter with offline capability, deep push-notification integration, and a shared Dart codebase.
SATE: prove how your software behaves
Software execution verification: it certifies that software does what it claims, based on execution evidence, not documentation. A family of three: SATE v2 (language-agnostic certification), SATE-STE (JS/TS test generation, healing, mutation, regression), and SATE-Laravel (Test Suite Governance for Laravel).
FleetCheeta: one operating system for logistics operations
A modular logistics and supply chain platform with signed chain-of-custody handover, COD cash reconciliation, warehouse shelf audits, and offline-first driver scanning: dispatch and route optimization, live tracking, an order board, warehouse and inventory, billing, a developer API, and a native iOS and Android driver app in one system. Deployable in the cloud or on-premise.
What we build for clients and partners.
Commission us to build it and hand it over, and you own and run the software we build for you. Hire us to consult, and we advise wherever you need a steady hand. Or, when we like the idea and the team, we come in for shares as long-term partners through equity, a joint venture, or a co-founder role. Commissioned builds and consulting are open to everyone.
AI conversation systems
End-to-end WhatsApp or web-based AI representative systems: from persona definition and intent taxonomy to full orchestration, A/B testing, and adaptive learning. Deployed on your infrastructure, tuned to your domain.
Vertical SaaS product builds
If you have a domain-specific problem that warrants its own SaaS product, we design, architect, build, and launch it. We've done this in property, HR, procurement, and software auditing. Talk to us about your sector.
AI integration into existing products
Already have a product? We can embed a qualification pipeline, prediction engine, objection handler, or revenue optimiser into your existing flow, as a modular addition, not a rewrite.
Payment and billing infrastructure
Payment gateway integration (Tap in production), compliant e-invoicing, subscription lifecycle management, dunning automation, and settlement reconciliation. Built to regulatory standards from day one.
Software execution truth (via SATE)
A family of three purpose-built products: SATE v2 for language-agnostic execution certification (no tests required, pure observation); SATE-STE for JavaScript/TypeScript test generation, mutation testing, healing, and regression detection; and SATE-Laravel for Test Suite Governance for Laravel, with causality auditing and Green Lies prevention. Each product observes; it never modifies your toolchain.
Technical due diligence
Acquiring, partnering with, or investing in a technology company in the region? We can independently audit the system's architecture, codebase quality, and operational claims before you commit.
Ready to build?
Tell us what you're working on.
We'll tell you what's possible.
Engagements start with a conversation, not a proposal. We scope precisely before committing anyone's time.
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