Services · Generative AI Development
TechEniac is a generative AI development company that builds production-grade AI for SaaS products AI that generates content, writes documents, builds courses, and produces structured output with brand accuracy, compliance checking, and cost control engineered from Day 1.
Trusted to build
Capabilities
Generative AI systems that produce brand-compliant marketing content, product descriptions, email campaigns, and social posts at enterprise scale. Brand voice enforcement, format-specific output constraints, and multi-layer compliance validation every generated piece meets your brand standards before reaching any audience.
Generative AI platforms that produce complete documents course curricula, training materials, assessments, reports, proposals from minimal input. Structured output frameworks, domain-specific quality criteria, and export compatibility with industry-standard formats.
Ambient AI documentation systems that generate structured medical notes, referral letters, prescription summaries, and discharge certificates from physician-patient conversations. Multi-language transcription with code-switching awareness; clinical coding via validated medical ontology never AI-generated codes.
Generative AI engines that produce personalised product descriptions, email campaigns, and customer communications across thousands of SKUs brand voice consistency across every generated piece. Batch processing architecture handles high-volume generation efficiently.
Output validation pipelines that catch errors, policy violations, and hallucinated content before it reaches users. Three layers: prompt-level constraints with explicit boundary rules, semantic compliance analysis evaluating implied claims, and human-in-the-loop escalation for low-confidence outputs.
Generative AI that produces content in Arabic and English with cultural adaptation not translation. AraBART fine-tuned for GCC-specific content, CAMeL Tools for post-generation normalisation, cultural context prompting for seasonal campaigns (Ramadan, Eid, National Day).
Delivery process
Before writing a single prompt, we define exactly what the AI should produce and how to measure quality. What format? What length? What tone? What accuracy threshold? What compliance constraints? This is the foundation everything else is built on. For ContentForge AI, this meant defining 12 content formats with per-format length constraints, brand voice parameters, and compliance rules.
We don't write individual prompts. We design prompt architectures structured systems that produce consistent, high-quality output across thousands of generation requests. ContentForge AI's architecture has three layers: Brand DNA (tone, vocabulary, messaging pillars), Format (structure, length, platform constraints), and Compliance (prohibited terms, required disclaimers, regulatory rules).
Not every generation task needs the same LLM. We evaluate GPT-4o, Claude Sonnet, Gemini, and cost-efficient alternatives, then implement intelligent routing that selects the optimal model for each request. ContentForge AI routes long-form content to GPT-4o and compliance-sensitive content to Claude Sonnet. SolidHealth AI switches dynamically between Gemini and Llama based on complexity saving 40% on inference.
Raw LLM output is a starting point, not a finished product. We build validation pipelines appropriate to your domain's risk level regex-based prohibited term detection, GPT-4o semantic compliance analysis evaluating implied claims, human-in-the-loop escalation for responses below 85% confidence. ScribeAI never generates ICD-10 codes from free text diagnoses are extracted and mapped via validated medical ontology lookup.
Generative AI costs grow linearly with usage. We architect three cost controls into every deployment from Day 1: response caching for repeated inputs, model routing for cost-efficient task allocation, batch processing for high-volume generation. BrandVoice AI generates 1,000 product descriptions in 4 hours using batch processing with Bull queues compared to 6 weeks of manual writing.
Industries served
Clinical documentation generation, patient-facing health guidance, medical note structuring, ICD-10 coding. HIPAA-compliant with validated medical ontology integration.
FCA-compliant client communications, regulatory report generation, financial analysis documentation. Compliance boundary management engineered into every output.
Product description generation, personalised email campaigns, WhatsApp messaging, multi-channel content at scale. Brand voice consistency across 100,000+ SKUs.
Course curriculum generation, adaptive assessment creation, SCORM-compliant export, instructional design automation. Quality validated by expert panels.
Multi-format content generation (social, email, ads, landing pages, press releases), brand voice enforcement, Arabic-English dual-language campaigns for Gulf markets.
Tech Stack
| Large language models | GPT-4o, Claude Sonnet, Gemini, GPT-4o-mini, Llama 3.3 (via Groq) |
| Arabic NLP and multi-language | AraBART, CAMeL Tools |
| Orchestration and quality assurance | LangChain, LangGraph, GPT-4o-as-evaluator, Regex + semantic compliance |
Book a free 30-minute strategy session. We’ll review your product idea, discuss architecture options, and map a realistic path from idea to launch.