Lantera

AI integration · Legacy modernization

Light for the systems
you already run.

Lantera brings large language models into the applications your company already depends on — Claude, OpenAI, and others, connected through MCP or REST. We also take legacy platforms, from PL/SQL and older stacks, and rebuild them into architectures your teams can actually own.

Talk with us See the work

Most companies do not need another AI product. They need the software they already trust to work with the models that exist now — and a clear path off the systems that no longer can.

Two practices, one firm

What Lantera does

01

AI in the applications you already have

We connect your existing systems to Claude, OpenAI, and other models so people can use AI where the work already happens — not in a separate chat window that knows nothing about your data.

  • MCP Expose internal tools, databases, and workflows as Model Context Protocol servers so Claude and compatible clients can use them directly.
  • REST APIs Build reliable bridges between your applications and model providers when MCP is not the right fit — with auth, logging, and rate control.
  • In-place integration Embed AI into ERP, CRM, custom line-of-business apps, and internal portals without ripping out what already works.
  • Production discipline Guardrails, human review where it matters, and traces you can audit — not a demo that dies after the pilot.
02

Legacy systems, rebuilt for now

We convert applications stuck in old technology — PL/SQL, stored-procedure systems, aging monoliths — into modern architectures: Node.js, React, well-structured APIs, and platforms your engineers can hire for and maintain.

  • PL/SQL and older stacks Untangle business rules buried in packages, triggers, and forms, then move them into code that can be tested and versioned.
  • Strangler-fig migrations Run old and new in parallel. Replace a slice at a time so the business keeps operating while the architecture changes.
  • Modern targets Node.js services, React interfaces, REST or event-driven APIs — chosen for the team that will own the system after we leave.
  • Knowledge transfer Documentation, pairing, and a codebase your people can extend. The point is independence, not a permanent retainer.

We work across

How an engagement runs

Clear steps. No theatre.

  1. 01

    Listen

    We start with the systems, constraints, and people who live in them — not with a preferred model or framework.

  2. 02

    Map

    Where can AI attach without breaking trust? What must be modernized before anything else will hold?

  3. 03

    Build

    Integrate or rebuild in production-shaped slices. MCP or REST for models. Node, React, and APIs for the systems that need a new foundation.

  4. 04

    Hand over

    Your team leaves with working software, the map of how it fits, and the ability to change it.

Who this is for

Companies with real systems — not greenfield demos.

You have applications that already run the business, and you want Claude or OpenAI inside those workflows.

You have PL/SQL, a long-lived monolith, or another stack that is expensive to change and harder to hire for.

You need a partner who will integrate with what exists, or rebuild what cannot keep up — and then leave you able to run it.

Start here

Tell us about the systems you want to change.

Contact us for a demo and more information.

A short note is enough: what you run today, whether the need is AI integration, a legacy conversion, or both. We will follow up with a conversation, not a deck.

Or write us at contact@lanterahq.com.

Messages go to contact@lanterahq.com.