AI Features That Work in Production. Not Just in Demos.
We build LLM integrations and ML pipelines that hold up under real load, with evaluation frameworks, cost controls, and fallback handling engineered in from day one.
Who We Are
Enlight Lab is an elite consultancy of senior engineers (average 10+ years experience, ex-founders) who build directly for you.
- Working proof-of-concept delivered in the first two weeks. Validate before you commit.
- Every LLM integration includes evaluation frameworks, cost controls, and fallback handling.
- All models, pipelines, and IP transferred to you at completion. No vendor lock-in.
Track Record
5.0 on Clutch
Fixed PriceClutch Review
5.0 Rating on Clutch · Jay Joshi, Exar North
“Integrated our systems with AI faster than we thought possible.”
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Who We Are
Enlight Lab is an elite consultancy of senior engineers (average 10+ years experience, ex-founders) who build directly for you.
- Working proof-of-concept delivered in the first two weeks. Validate before you commit.
- Every LLM integration includes evaluation frameworks, cost controls, and fallback handling.
- All models, pipelines, and IP transferred to you at completion. No vendor lock-in.
Track Record
5.0 on Clutch
Fixed PriceClutch Review
5.0 Rating on Clutch · Jay Joshi, Exar North
“Integrated our systems with AI faster than we thought possible.”
Dhananjay Goel
Founder & CEO, Enlight Lab
Former CTO & Co-founder of Alphalogic Techsys Limited, where he led engineering through its growth into one of the first Indian technology companies listed on the Bombay Stock Exchange.
Throughout his career, Dhananjay has led the design and delivery of software used by organizations including Mozilla, Maersk, and Huma, helping companies build, modernize, and scale complex technology platforms.
Today, he personally leads the technical direction of every AI engagement at Enlight Lab. Every architecture, technology decision, and delivery strategy is reviewed with one question in mind:
"Will this still be the right technical decision two years from now?"
That philosophy often leads to recommendations that clients don't expect.
Sometimes the answer is a custom AI platform.
Sometimes it's workflow automation.
Sometimes it's an existing SaaS product.
And if custom AI isn't the right solution, he'll tell you before you invest time and money building the wrong thing.
Unlike traditional agencies where founders disappear after the sales call, Dhananjay remains actively involved throughout every project, working alongside the engineering team to ensure every solution is scalable, maintainable, and built for long-term business value.
"Great software isn't built by chasing the latest technology. It's built by making the right technical decisions from the start."
Free scoping call. Fixed-price proposal within 24 hours.
Partners & Recognition
Certified Partner Status & Ratings
Specific Commitments. Not Marketing Language.
Every firm claims to be reliable, fast, and senior. Here is what those words actually mean in practice when you engage with us.
Most AI firms
Vague estimates. The real cost shows up after you sign, plus change-order surprises.
Lock-in, or fuzzy answers about who owns the code and the IP.
Seniors on the sales call, juniors on your project after you sign.
Jargon and status decks. You slowly lose the thread of your own project.
Enlight Lab
Fixed price before any code. The price we agree is the price you pay.
Full source-code and IP ownership, transferred on handover. No lock-in, ever.
Senior engineers only. The ones who scope your project are the ones who build it.
Plain English, every choice explained. One senior contact, first call to launch.
Everything Included. No Hidden Extras.
One engagement, full-stack execution. We own the outcome, not just the deliverables.
LLM Integration
GPT-4, Claude, Gemini, Llama: we build production-grade LLM features with proper caching, rate limiting, and fallback strategies so your AI works reliably at scale.
RAG and Knowledge Bases
Retrieval-Augmented Generation systems that let your AI answer questions accurately from your own documents, databases, and proprietary data.
Custom ML Models
Classification, recommendation, anomaly detection, and forecasting models trained on your data and optimised for your specific use case.
AI Product Strategy
We help you identify which AI use cases will move the needle for your business before writing a line of code. Most teams start with the wrong problem.
Sometimes we'll tell you not to build.
If AI isn't the right answer for your problem, or an off-the-shelf tool would do the job better and cheaper, we'll say so on the call.
Four Phases. Four Weeks. Every Checkpoint is Working Software.
No status-report theatre. No slide decks. At every phase you receive something you can read, test, or deploy.
AI Opportunity Assessment
We map your product to AI use cases ranked by business ROI, not technical novelty. You receive a prioritised roadmap with estimated impact per initiative and a data readiness assessment. A working document, not a buzzword deck.
Proof of Concept
A working prototype that validates the core AI approach before you commit to a full build. We measure accuracy, latency, and cost at the PoC stage. If the approach does not work, we tell you and help you find one that does.
Production Build
Full engineering with evaluation frameworks, monitoring dashboards, rate limiting, and cost controls built in from the start. Weekly demos show real AI output against real data, not mocked responses.
Monitoring and Iteration
AI systems degrade without attention. We configure evaluation pipelines, track model performance over time, and help you iterate based on real usage data rather than assumptions.
What Engineering & Product Leaders Say
Real feedback from our clients, from startups to large organisations.
From verified Clutch reviews and LinkedIn recommendations
Enterprise-Grade Tools.
Battle-Tested in Production.
Stack selection is driven by project requirements. We advise against over-engineering.
Frequently Asked Questions
Everything you need to know before booking a call.
Do you build with OpenAI, Anthropic, or open-source models?
How do you handle hallucinations and accuracy?
What if we don't have training data?
How much will LLM API usage cost in production?
Can you integrate with our existing product and data?
How long does an AI integration take?
How do I get started?
Got an AI Idea?
Let's Architect It.
30 minutes with a senior engineer. Fixed price. No salespeople.
“They scoped our entire AI pipeline in one call and delivered exactly what they promised - on time, fixed price, zero surprises.”
AI Models We Specialize In
We design, fine-tune, and deploy models from leading research labs to power your production workflows.
AI Models We Specialize In
We design, fine-tune, and deploy models from leading research labs to power your production workflows.
Got an AI Idea?
Let's Architect It.
30 minutes. No pitch deck. We review your concept, define the scope, and send a fixed‑price proposal within 24 hours of the call.