At Enlight Lab, we help you unlock tangible business value with strategic AI implementation. From identifying high-leverage use cases to building production-ready AI apps, we guide your organization through the full lifecycle of AI adoption, not just experimentation.
AI Consulting for
Real-World Use
Our AI consulting services are designed for startups, scaleups, and innovation-driven businesses looking to go beyond prototypes and integrate AI into core products or processes.
Whether it’s LLM integrations, RAG systems, or deploying generative AI at scale, Enlight Lab bridges the gap between strategy, architecture, and execution.
As your AI solution consultant, we act as your technical and strategic partner aligning AI possibilities with real business outcomes.
Enlight Lab’s
AI Consulting Services
We offer AI and LLM solutions to your business needs, product roadmap, and technical landscape.
AI/LLM Use Case Discovery & Strategy
We help you define high-impact AI use cases aligned with your workflows, data, and customer needs. Whether it’s internal automation or end-user product features, we start with measurable business outcomes and assess feasibility based on model performance, latency, and privacy constraints.
AI Architecture & System Design
From LLM agents to vector databases and orchestration tools, we design scalable AI architectures tailored to your goals. We plan for extensibility, guardrails, and production-readiness from day one.
LLM Integration & RAG Systems
We implement LLMs like Claude and OpenAI into your products and processes. From prompt engineering to retrieval-augmented generation (RAG) using vector databases like Pinecone, Weaviate, or Qdrant, we make your models context-aware, cost-efficient, and secure.
Embeddings & Custom Search
We use embeddings to power AI-driven search, document analysis, chat interfaces, and knowledge base applications. Whether you need multilingual support or domain-specific context, we handle the full lifecycle from embedding generation to serving.
AI App Development & Delivery
We build and deploy AI-powered apps with production-level performance, observability, and security. From agent frameworks to real-time inference, we ensure your AI products are reliable, auditable, and easy to evolve.
What You Get with Enlight Lab’s
AI Consulting
Full-Spectrum
Expertise
From use case discovery and LLM integration to model tuning and deployment, we cover the end-to-end journey of AI implementation.
Production-Grade
Delivery
We go beyond experimentation to deliver apps and systems that perform in real-world environments. Observability, scalability, and latency tuning come baked in.
Architecture That
Scales
We design with extensibility in mind using serverless, containerized, or GPU-backed infrastructure tailored to your needs.
Vendor-Agnostic AI Integration
We support OpenAI, Anthropic, Mistral, Meta, HuggingFace, and custom-hosted models — selecting the best fit for your use case and budget.
 
Secure & Compliant
We help you implement role-based access, usage logging, encryption, and API security for safe enterprise adoption of AI.
Why Enlight Lab for AI Consulting?
Strategic and Technical Alignment
We’re not just a development shop. We combine business understanding with deep technical expertise to deliver AI solutions that align with your company’s direction.
LLM-Native From Day One
We’ve worked across OpenAI, Claude, Mistral, and open-source models helping companies build and deploy LLM apps with context injection, memory, and real-time grounding.
Hands-On Delivery, Not Just Decks
We design, prototype, deploy, and support integrating seamlessly with your engineering team for real results, not just recommendations.
Startup-Ready, Scaleup-Ready
Whether you’re validating a first AI use case or building a generative feature at scale, we tailor solutions to your budget, speed, and vision.
We help businesses define, architect, and deploy AI solutions that create real-world value. This includes identifying impactful use cases, integrating large language models (LLMs) like GPT-4 or Claude, designing production-ready architectures, and building AI-powered apps that scale securely.
If your business handles large volumes of data, has repetitive processes, or is exploring personalization, automation, or advanced insights you’re likely ready for AI. Our team can help you assess feasibility based on data quality, model fit, and ROI potential.
We build a wide range of AI solutions including:
- Domain-specific LLM agents
- RAG-based systems (e.g., AI-powered chat over knowledge bases)
- Custom search engines using embeddings
- Internal automation tools
- AI-driven customer support
Generative AI integrations in existing products
We work with OpenAI (GPT-4), Anthropic (Claude), Mistral, Hugging Face, Meta’s LLaMA, and can integrate both closed and open-source models. We’re vendor-agnostic and choose tools that match your budget, compliance needs, and performance goals.
Absolutely. We’re not just advisors we build. From prototypes to full-scale deployment, our team handles everything from architecture to DevOps, observability, and post-launch support.
Yes. We implement encryption, audit trails, RBAC, data minimization, and privacy-preserving techniques as part of every engagement. We can align with SOC 2, HIPAA, GDPR, or your internal compliance requirements.
Perfect. We collaborate with internal teams, embedding alongside them to accelerate development, share best practices, and avoid missteps in AI integration. We can take lead or act as an augmentation to your current capabilities.
Timelines vary based on scope, but many clients see their first working prototype within 4–6 weeks. Production deployments may take 8–12 weeks depending on complexity, integrations, and compliance needs.
We start with business goals and tie each AI use case to KPIs whether it’s reduced support load, improved conversion, or increased automation efficiency. We also build dashboards and monitoring to track outcomes post-launch.
We work across B2B SaaS, fintech, e-commerce, healthtech, logistics, and knowledge-heavy domains where generative AI and automation can drive real business impact.
