Lightrains · AI and Product Engineering

AI Systems Built for Production.

We design, build and operate AI applications, enterprise workflows and software products. From architecture and integrations to deployment, evaluation and long-term reliability.

Discuss Your ProjectExplore Our Work
Featured work

Production systems Lightrains has built

All work
HelixGuide answering a question about an LDL finding, with source evidence and an answer traceability panel

Healthcare RAG assistant

HelixGuide: an AI assistant for genomic reports

Challenge
Specialists at a B2B genomic testing lab spent their days explaining finished reports to patients, clinicians and partners.
What Lightrains built
A report-scoped RAG assistant that answers from the user’s own report and approved content, cites the pages it used and routes clinical questions to a specialist.
Outcome
Routine questions are answered at the point of confusion instead of in a ticket queue, and the lab takes on new partners without hiring a specialist for each.

How an answer is built

  1. Report ingest A PDF upload, or a structured export from the lab portal or API
  2. Scoped extraction Only the report sections the question needs
  3. Knowledge retrieval Approved medical context, checked against policy
  4. Grounded response Report evidence plus approved context, with the sources attached

Questions that need clinical judgment, touch sensitive topics or fail a confidence check go to a specialist, with the conversation attached.

  • RAG
  • PDF and API ingest
  • Audit trails
  • REST API
Read the case study

Fintech AI infrastructure

Compliance search for a fintech, rebuilt for production load

p95 latency, from 1,200 ms
180 ms
monthly infrastructure, from $12K
$4K
Challenge
Two earlier RAG architectures over contracts and regulatory filings timed out at peak load and ran past budget.
What Lightrains built
A self-hosted Qdrant cluster, a Redis cache and an orchestrator that scales horizontally, deployed on Kubernetes with Prometheus monitoring.
Outcome
99.9% uptime over the first six months in production.
  • Qdrant
  • Redis
  • Kubernetes
  • GPT-4
Read the engineering write-up

Manufacturing Computer vision

Real-time defect detection on conveyor belts

less production downtime
25%
better defect detection
40%
Challenge
Manual inspection on continuous production lines missed defects, and equipment failures caused unplanned downtime.
What Lightrains built
Cameras along the line feeding defect detection and failure prediction models, with alerts to operators.
Outcome
20% more throughput at the client facility.
  • Computer vision
  • Failure prediction
  • On-site image processing
Read the case study
Clients worldwide
34+
Projects shipped
79+
Years in business
10+
Industries served
6+
Core services

AI systems, the products around them and the infrastructure under them

Most engagements start with one of these. Each is run by senior engineers, from architecture to operation.

01

Enterprise AI Engineering

The problem

AI pilots that never reach the systems the business actually runs on.

Custom AI, ML and LLM systems built into ERP, CRM, document and support workflows, with access control, audit trails and an evaluation set from the first release.

Workflow automation LLM systems Computer vision Explore Enterprise AI Engineering
02

AI Product Engineering

The problem

A product that needs AI features and a dependable application around them.

Product strategy, design and full-stack engineering for SaaS platforms, internal tools and mobile apps, with LLM features, APIs and a release process that keeps shipping.

SaaS platforms React and Node.js LLM features Explore AI Product Engineering
03

AI Infrastructure & Optimization

The problem

AI features that get slow, expensive or unpredictable under real traffic.

Model serving and routing, vector database scaling, caching, quantization and monitoring, so latency, cost and uptime are measured and kept within budget.

Inference cost Vector databases Observability Explore AI Infrastructure & Optimization
Specialist services

Focused work that often runs alongside a core engagement.

AI Agents & RAG

Support, knowledge and back-office agents with guardrails and human sign-off, and retrieval over your documents with source citations.

Private & On-Device AI

Open-weight models in your cloud account, on-premises or on edge hardware, for data that cannot leave your environment.

Prototype to Production

Security, testing, architecture and deployment work that takes an AI-built or vibe-coded prototype to software real users can rely on.

Blockchain & Smart Contracts

Architecture and builds on Ethereum, Solana, Hyperledger and Polkadot, from smart contracts to security audits.

Models, frameworks and clouds Lightrains ships on

  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • Hugging Face
  • LangChain
  • LangGraph
  • LlamaIndex
  • MCP
  • PyTorch
  • TensorFlow
  • Python
  • TypeScript
  • React
  • Next.js
  • AWS
  • Google Cloud
  • Azure
  • Kubernetes
  • PostgreSQL
  • Qdrant
  • Ethereum
  • Solana
Engineering approach

What changes when AI has to run in production

A demo needs a model and a prompt. A production system needs the engineering around them, and that is where most of the work on a Lightrains project goes.

01

Production architecture

Designed for the traffic, data and failure modes you will have, not the demo. Model routing, caching, queues and fallbacks are planned before the first feature ships, so a model can be swapped without a rewrite.

02

Integrations

Connected to the systems that hold your data: CRMs, ERPs, document stores and internal APIs, through MCP servers or typed APIs with permissions per tool and approvals for actions that change data.

03

Evaluation

Every feature has an evaluation set of real inputs and expected results. It runs on each prompt or model change, and a failing case blocks the release.

04

Security and data handling

Retrieval that respects existing permissions, sensitive-data detection around every model call, audit logs and documented data flows for your security review. Models can run in your own cloud account when data cannot leave it.

05

Reliability after launch

Every run is traced with its prompts, tool calls, cost and outcome. Monitoring, cost reporting per feature and on-call ownership continue after launch, or the system is handed to your engineers with documentation.

How engagements run

Design. Build. Operate.

Every engagement moves through the same three stages, from architecture to long-term reliability, so you always know what is happening and what comes next.

  1. 01

    Design

    Architecture before code

    Map the workflow, the systems involved and the data each step needs. Agree the evaluation set and the cost and latency budget that define done.

    • Discovery workshops
    • System architecture
    • Evaluation set
    • Security review
    • Cost estimate
  2. 02

    Build

    Integrated, tested and measured

    Build into your product and systems, run the evaluation set on every change, and release to a subset of users first.

    • Integrations
    • Guardrails
    • Automated evaluations
    • Staged rollout
    • QA and testing
  3. 03

    Operate

    Reliable long after launch

    Monitoring, tracing and cost reporting in production. Lightrains keeps running the system, or hands it to your engineers with documentation.

    • Observability
    • Cost reporting
    • Incident response
    • Model updates
    • Handover
Testimonials

What clients say

As CTO of a fintech startup, I'm impressed by Lightrains' innovative approach to our digital payment infrastructure. Their technical expertise and attention to detail have helped us scale rapidly while maintaining security and reliability. A true game-changer.

Matthew Mecke CTO, Fintech Startup

Working with Lightrains transformed our enterprise-level project delivery. Their team's agile methodology and deep technical knowledge helped us launch our flagship product months ahead of schedule. The ROI has been exceptional.

Jaison Sebastian Product owner, Fortune 500 company

In the media tech space, finding partners who understand both technology and compliance is crucial. Lightrains delivered a secure, scalable solution that exceeded our expectations. Their commitment to excellence is unmatched.

Jean Mignault Entrepreneur, media tech company

Have an AI system to build or fix?

Tell Lightrains what you are building and get a clear scope, timeline and quote for the engagement.

  • No-obligation consultation
  • Clear scope and timeline
  • Transparent pricing
Discuss your project