Our AI Development Services
From strategy and consulting through to production deployment and ongoing management a comprehensive suite of AI development services covering every capability modern AI products require.
AI Strategy & Consulting
Successful AI products start with the right architecture, not just the right model. Our AI consulting services evaluate your business goals, test leading AI models against your real-world data, and identify the most effective solution based on accuracy, cost, and performance. We provide a complete AI roadmap covering model selection, system architecture, cost projections, compliance requirements, and implementation timelines. This ensures you make informed decisions before investing in development.
Custom AI Application Development
TechEniac develops custom AI applications from architecture and development to deployment and scaling. Our solutions include AI pipelines, frontend and backend systems, infrastructure, safety guardrails, output validation, cost optimization, and production monitoring built into every project. With experience across healthcare, fintech, edtech, martech, recruiting, and enterprise automation, we deliver production-ready AI applications that solve real business challenges and generate measurable results.
Generative AI Development
AI systems that create content, documents, courses, assessments, code, and structured output. TechEniac's generative AI development services go beyond wrapping an LLM in a chat interface. We build generation systems with brand voice enforcement, format-specific output constraints, multi-language support with cultural adaptation, and multi-layer compliance validation.
ContentForge AI generates on-brand content across 12 formats for 40+ brands in both Arabic and English with a per-brand voice engine encoding tone, vocabulary, messaging pillars, and compliance rules. A 3-stage compliance pipeline catches 97% of regulatory violations before content reaches any client. CourseGen AI compresses 40-hour course authoring into under 2 hours producing complete course structures with Bloom's Taxonomy-aligned learning objectives, adaptive assessments, and SCORM-compliant export validated across three major LMS platforms.
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Multi-Agent AI System Development
Multiple specialised AI agents collaborating on complex tasks each agent handling one responsibility within a larger coordinated workflow. TechEniac designs, builds, and deploys multi-agent systems using LangGraph for stateful orchestration with explicit state management, conditional branching, and persistent context across sessions.
Three orchestration patterns cover most production use cases. Sequential pipelines where agents execute in a fixed order with each output feeding the next (SolidHealth AI: 5 agents achieving 95% medical accuracy). Hub-and-spoke dispatch where a central orchestrator routes to specialised agents based on dynamic conditions (PatientFlow AI: 4 agents coordinating 800+ hospital beds). Supervised autonomous operation where agents act independently within boundaries and escalate at configured checkpoints (TalentSync AI: 5 agents saving recruiters 68% of administrative time). TechEniac has 6 multi-agent systems in production more than any boutique AI development company. These are production platforms processing real decisions daily, not proofs-of-concept gathering dust.
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AI Chatbot Development
Conversational AI systems that resolve issues not deflect them to help articles. TechEniac builds AI chatbots with multi-turn conversation memory, RAG-grounded responses verified against proprietary knowledge bases, autonomous task execution capabilities (process claims, generate documents, update systems, trigger workflows), and intelligent escalation when the AI reaches its confidence boundary.
ClaimBot processes insurance claims end-to-end collecting incident details, validating policies, accepting document uploads, populating the CMS, and generating FCA-compliant communication records. 78% faster FNOL processing. 69% of standard claims fully resolved by AI without human intervention. ScribeAI generates structured clinical documentation from doctor-patient conversations SOAP notes, ICD-10 mapping, referral letters achieving 82% documentation time reduction with 91% bilingual Arabic-English accuracy.
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LLM Integration & Development
Integrating large language models GPT-4o, Claude, Gemini, Llama, and Whisper into SaaS products with production-grade reliability. TechEniac builds every LLM integration on a provider abstraction layer that isolates the application from API-specific dependencies, enabling runtime provider switching, automatic failover, and configuration-based model changes without code deployment.
Dynamic model routing selects the optimal provider per query based on complexity, cost, and compliance signals. SolidHealth AI switches between Gemini and Llama at runtime saving 40% on inference costs while maintaining 95% medical accuracy. When one provider experiences elevated latency, traffic reroutes to the alternative in under 500ms with zero user impact. Real-time streaming delivers under 100ms time-to-first-token latency across all deployments.
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RAG Pipeline Development
Retrieval Augmented Generation systems that ground AI responses in your proprietary data eliminating hallucination by ensuring every answer is sourced from verified documents, not general training knowledge. TechEniac builds RAG pipelines covering the complete retrieval workflow document ingestion, intelligent chunking, embedding generation, vector database architecture, hybrid search (dense + sparse retrieval), and retrieval accuracy optimisation.
MortgageLens AI's RAG pipeline achieves 90%+ compliance accuracy answering from actual mortgage guidelines. EduAssist AI achieves 100% citation rate every response traces to a specific page in the student's course materials. If a student asks about a topic not covered in their uploaded materials, the system responds "This topic is not covered in your course materials" rather than fabricating an answer. SolidHealth AI's patient record retrieval system achieves 92% accuracy pulling relevant health records to answer medical questions.
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AI Integration & Automation
Adding AI capabilities to products that already exist without rebuilding the application. TechEniac embeds AI features into existing architectures through well-defined APIs: intelligent search, content generation, classification, recommendation engines, document processing, decision automation, and workflow intelligence. WorkflowAI embedded AI decision nodes into an existing no-code workflow platform enabling 120+ enterprise clients to automate lead qualification, risk scoring, ticket categorisation, and escalation triggers with full audit trail logging. The AI was integrated into the existing platform architecture without re-building the core system. 97.3% workflow success rate. 22 hours per week of operations time automated per client.
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Data Engineering & Pipeline Development
The foundation of every AI system is data quality. TechEniac's data engineering services cover document ingestion, data normalisation, embedding pipeline construction, vector database management, and ongoing data quality monitoring. We build the retrieval infrastructure that modern AI systems depend on ensuring your AI is grounded in clean, well-structured, continuously updated data. SolidHealth AI's data pipeline ingests patient health records from multiple providers via FHIR standards, normalises disparate record formats into a unified health profile, and maintains encrypted storage with HIPAA-compliant access controls. WealthPilot AI's Open Banking integration connects to 350+ UK financial providers via TrueLayer, normalising account data into a unified financial profile refreshed every 24 hours.
AI Product Scaling & Performance Optimization
Taking AI products from MVP to enterprise scale optimising accuracy, reducing inference costs, improving latency, and engineering infrastructure that handles exponential growth. TechEniac's scaling services include model routing strategies, response caching, token budgeting, batch processing for high-volume operations, and continuous accuracy improvement from production feedback signals. SolidHealth AI's medical accuracy improved from 91% to 95% in the first three months of production using automated feedback loops. Dynamic model routing reduced inference costs by 40%. BrandVoice AI generates 1,000 product descriptions in 4 hours via batch processing a task that previously required 6 weeks of manual copywriting.
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