TL;DR
Slavin AI (operated by SLAtech LTD) delivers enterprise-grade AI platforms engineered for security, governance, and scalability in regulated and mission-critical environments. Capabilities: RAG systems, AI assistants, AI-driven automation, predictive analytics, on-premise and private-cloud deployments with full audit logs and explainable AI. Serves enterprises across Israel, US, EU, UK and Russia.
Machine learning, RAG, predictive analytics and decision-support agents — architected so the deployment is debuggable, governable and reproducible after the engagement ends.
Deep learning models tuned to the workload at hand, with documented training data lineage and evaluation criteria the customer can audit.
Encryption in transit (TLS) and GDPR-aware data handling, with on-premise and private-cloud deployment options for organisations that cannot let data leave their perimeter.
Cloud and on-premise deployment topologies designed for low-latency AI inference at production volumes, with sizing guidance for the workload, not the demo.
Pre-built connectors for major enterprise systems (SAP, Oracle, Microsoft 365, Salesforce, Mews, Opera, Moodle, Canvas) and an extensible adapter framework for legacy and bespoke systems.
Forecasting and trend analysis with the source data linked back to every chart — decisions reviewable, not summarised away.
Multi-region deployment with automatic scaling for high request volumes, supporting your business growth from startup to enterprise
A suite of AI solutions for verticals where the deployment has to survive audit — healthcare, education, enterprise operations, e-commerce — built on the architecture and methodology documented further down the page.
Healthcare AI platform supporting medical diagnostics with high accuracy. Advanced computer vision and natural language processing for radiology analysis, patient risk assessment, and automated clinical documentation.
Adaptive learning platform using AI to personalise the learning path for each student. Machine learning models build per-student paths; an intelligent tutoring agent answers questions 24/7 and routes patterns of difficulty back to the instructor.
AI layer over existing ERP for repetitive, rules-rich workflows: demand forecasting, procurement, financial planning support and resource allocation — designed to complement existing SAP / Oracle / legacy estates, not replace them.
AI layer for e-commerce: recommendations, dynamic pricing support, conversational shopping assistant and real-time fraud detection — built for high transaction volumes and the audit trail your processor and compliance team expect.
Enterprise-grade AI agents platform that automates internal business operations end-to-end. AI agents independently process requests, fill forms, operate ERP/CRM systems, generate documents, interact with APIs, and execute complex workflows without human intervention.
Production-ready vertical AI suites — deployable in weeks, not quarters. When pre-built fits, browse the family below. For bespoke AI architecture, the rest of this site is for you.
Customer-facing AI Bot + back-office AI Agent for any business. The Bot handles conversations 24/7; the Agent executes actions — quoting, booking, escalating — while you sleep.
Patient-facing AI Bot + scheduling AI Agent for clinics. Patients get instant answers and triage; the Agent books appointments, sends reminders, and handles follow-ups — reducing reception load.
Student-facing AI Bot tutoring on your materials + AI Agent that builds tests, tracks knowledge gaps, and routes follow-ups to the instructor. The Bot answers 24/7; the Agent grades, assigns, and reminds — so teachers teach, not chase.
Multilingual guest-facing AI Bot via QR or web + AI Agent that takes reservations, orders, and concierge requests straight into your PMS or POS. The Bot speaks every guest language; the Agent fulfils what they ask — check-in, table, room service, late check-out.
Conversational AI Bot for lead qualification + AI Agent that remembers every promise, tone, and deal stage — syncs to your CRM and surfaces what matters before each call.
Client-intake AI Bot that pre-qualifies cases + AI Agent that drafts documents, tracks deadlines, and syncs matters to your practice-management system. The Bot triages enquiries; the Agent files, reminds, and escalates — so billable hours go to actual law.
Client-facing AI Bot for bookings and treatment Q&A + AI Agent that fills the chair — rebooking lapsed clients, confirming visits, and routing no-shows to your waitlist. The Bot answers and books; the Agent keeps the schedule full while you work.
Member-facing AI Bot for class bookings and plan questions + AI Agent that re-engages dormant members, fills empty slots, and nudges streaks. The Bot books and answers; the Agent fights churn — so trainers train, not call lists.
Attendee-facing AI Bot for RSVPs, agenda, and logistics + AI Agent that handles ticketing, vendor coordination, and on-the-day comms. The Bot answers every guest question; the Agent runs the operational backbone — registration, reminders, last-minute changes.
Production-ready · Enterprise-grade · Multilingual support
Architecture, integrations, production examples and FAQs for the four most-asked verticals. Read before booking a POC — or while comparing vendors.
Upload a blood test or lab panel, get plain-language explanation of every marker. Interpretation, not diagnosis. Free in beta. Deep dive: data flow, privacy stance, what's interpreted vs what's left for the doctor.
Native integration with Opera, Mews, Cloudbeds. Multi-language guest chat + PMS-native agent. Deep dive: 25% upsell ROI mechanics, 5-language NLP, pre/in/post stay automation.
Native integration with Moodle, Canvas, Blackboard. Socratic method — guiding questions instead of giving the answer. Deep dive: pedagogical ontology, FERPA/GDPR posture, early-warning detection of struggling students.
Native integration with Eventbrite, Hopin, Bizzabo, Cvent. 6+ language real-time Q&A, networking facilitation, sponsor lead capture. Deep dive: pre/day-of/in-event/post automations, 3-second response architecture.
Deeper than a product card · Architecture · Production examples · FAQs
Slavin AI is an enterprise AI platform delivering production-grade artificial intelligence solutions for regulated and mission-critical environments. Capabilities include Retrieval-Augmented Generation (RAG), enterprise AI assistants, AI-driven automation, predictive analytics, on-premise and private-cloud deployments, with full audit logs and explainable AI for legal, compliance, and risk teams.
The platform is built and operated by SLAtech LTD — an Israeli-registered technology company active since 2004, serving enterprises across Israel, the United States, the United Kingdom, the European Union, and the Russian Federation. SLAtech LTD is the canonical legal entity of a brand family that also includes SLAtech.ru (Russian market) and Slavin — Internet Technologies (custom development). Lead architect: Emil Slavin.
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Beyond the product overview above, four resource pages explain how Slavin AI thinks about enterprise AI deployment - from governance through to engagement model.
Fifteen decision-maker questions about enterprise AI - strategy, governance, risk, implementation and ROI - with crisp answers.
Read the AI FAQ →
A 5-level maturity model, twelve-control baseline checklist, and the LLM risk taxonomy used in real production deployments.
Read the AI Governance page →
The four-phase engagement model: Discovery, Architecture, Governance Design, Implementation Oversight. Three engagement models.
Read the Methodology page →
Three anonymized engagements across healthcare, financial services and manufacturing - applied methodology, measured outcomes, lessons.
Browse Case Studies →
Three head-to-head decision frameworks for the questions enterprise AI teams ask most often - each scored rubric, hybrid pattern, and pitfalls section.
Six dimensions scored 1-5, hybrid pattern that wins ~60% of cases, cost crossover at ~1-3M queries.
Read the comparison →
Vendor comparison across capability, cost, latency, compliance, lock-in. The multi-vendor gateway pattern.
Pinecone vs Weaviate vs pgvector vs Qdrant vs Milvus. Scale bands, hybrid search, the Postgres default.
Three public datasets (LLM vendor pricing, 12-control governance baseline, 24 enterprise use cases with ROI). JSON, machine-readable, schema.org Dataset.
Browse the data catalog →
AI closes the first 80% well. Production is decided by the last 20%: failure modes, concurrency, data integrity, cost at scale. Why you are paying for judgment, not generation.
Read the position →
Free download
22 failure modes AI generators ship into production code, in 7 categories — with detection signals and the architect's mitigations.
Email me the checklist → or read online
Strategy, governance and reference architecture — book a discovery call.