Neulaxy
Generative & Agentic AI

Generative & Agentic AI

We build generative and agentic AI on your own stack and data: copilots and knowledge assistants, autonomous agents that take action, and voice agents that handle calls end to end, grounded and governed.

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01 — Why it matters

A demo is not a system

Generic tool

General-purpose & disconnected

  • Not grounded in your content
  • Cannot take action in your workflows
  • No memory of your systems or rules
Neulaxy build

Grounded, integrated, governed

  • Grounded in your data via retrieval
  • Integrated with the tools you use
  • Agents and voice that take real action
02 — Our approach

Ground it, integrate it, govern it

We start from the workflow, ground the system in your data, and put guardrails and evaluation around it so it is reliable in production.

01

Start from the workflow

We design around a real task first, not the model, so the system fits how your team works.

02

Ground in your data

Retrieval connects the model to your content so answers and actions reflect your latest facts.

03

Add agents and voice

Where it helps, agents plan and act across tools, and voice agents handle calls end to end.

04

Guardrail and evaluate

Prompt design, guardrails and test sets keep output accurate, on brand and in scope, with cost controlled.

03 — Capabilities

What we deliver

Assist

Copilots & assistants

Embedded helpers that draft, summarise and answer from your content.

Knowledge

RAG & GraphRAG

Grounded answers from your documents, with citations and access control.

Agents

Agentic workflows

Agents that plan, use tools and complete multi-step tasks with oversight.

Voice

Voice agents

Real-time speech, telephony and IVR, low latency and multilingual.

Generate

Content & code generation

Consistent, on-brand output at scale, with review where needed.

Reliability

Prompt engineering & evals

Guardrails and test sets that keep answers accurate.

How it works

One platform, from copilots to voice

Copilots & assistants

We build domain-specific copilots and assistants embedded in the workflows your team already uses, so they draft, summarise and answer from your own content. Grounded in your systems and data, they help people work faster without leaving the tools they know.

Knowledge AI: RAG & GraphRAG

Traditional search returns a list of links you still have to read. Knowledge AI returns a direct, synthesised answer with citations back to the source, and it can reason across multiple documents and follow-ups. We win accuracy at retrieval, using hybrid search, reranking and GraphRAG to surface the most relevant content, then generate answers grounded in it.

Because the system retrieves from your live content at query time, updating a document updates the answers with no retraining. Role-based access control means the assistant only reveals what a given user is permitted to see, which matters for HR, legal and finance.

Agentic workflows & automation

Agentic workflows go beyond answering. The AI plans and carries out multi-step tasks, calling tools, retrieving data and taking actions within safe, policy-bound limits, with humans in control of the decisions that matter. We wrap models in agents and workflow automation that take repetitive, rules-heavy work off your team, then escalate the cases where judgement actually changes the outcome.

Voice agents

Our voice agents handle calls end to end with natural, low-latency conversation. We tune the full pipeline, speech-to-text, live reasoning and text-to-speech, to minimise the delay between turns, and connect to your telephony and IVR so the agent fits your existing call infrastructure. Voice agents can support multilingual conversations and stay grounded in your approved knowledge base, with guardrails that keep them accurate and in character.

Content & code generation

We build generative systems for content and code generation with consistent, on-brand output at scale, and with guardrails and human review where they are needed. Prompts are treated as engineered assets and measured against evaluation suites, so quality holds up in production rather than only in a demo.

04 — Where it fits
  • Internal copilots that draft, summarise and answer from your content
  • Knowledge assistants that answer from your documents with citations
  • Agents that automate multi-step operational work with human oversight
  • Voice agents that answer calls around the clock and route or escalate
  • Customer-facing assistants embedded in your product or support
Business outcomes
Grounded answers
From your own data, with sources
Real work automated
Agents and voice that act
On-brand at scale
Consistent output every time

Fits into your existing stack

Neulaxy solutions integrate with the systems, tools, data and processes you already use, through clean and well-documented APIs. We fit into your stack rather than asking you to rip out and replace what works.

Tech stack
OpenAIHugging FaceLangChainVector databasesReal-time STT & TTSTelephony & IVROpenAIHugging FaceLangChainVector databasesReal-time STT & TTSTelephony & IVROpenAIHugging FaceLangChainVector databasesReal-time STT & TTSTelephony & IVR
06 — FAQ

Frequently asked questions

What is the difference between using ChatGPT and a custom generative AI application?+

Consumer tools like ChatGPT are general-purpose and disconnected from your systems and data. A custom generative AI application is grounded in your content, integrated with your tools, governed for security and cost, and shaped to your workflows, so answers are accurate, on brand, and actionable rather than generic.

How do you stop AI from hallucinating or making things up?+

We ground models in your own data using retrieval, constrain them with careful prompt design and guardrails, and evaluate outputs against real test sets. Grounding plus evaluation is what turns an impressive demo into a reliable production system.

What are AI copilots, and how do they differ from agentic workflows?+

A copilot is an assistant embedded in a workflow that helps a person work faster, by drafting, summarising, or answering. Agentic workflows go further: the AI plans and carries out multi-step tasks, calling tools, retrieving data, and taking actions, with appropriate human oversight.

What is RAG, or Knowledge AI?+

Knowledge AI uses retrieval-augmented generation to answer questions from your own documents and systems. It retrieves the most relevant content and generates an accurate, grounded answer with citations, and it can respect access control so users only see what they are permitted to. It turns scattered internal knowledge into a reliable, searchable assistant.

How are AI voice agents different from traditional IVR?+

Traditional IVR uses rigid menus and long hold times, and often only works in business hours. AI voice agents hold a natural, low-latency conversation, understand and act in real time, and can answer around the clock in multiple languages.

Can these systems integrate with our existing tools and telephony?+

Yes. We integrate copilots, knowledge assistants, and agents with the tools, data, and systems you already use through clean, well-documented APIs, and we connect voice agents to your existing telephony and IVR so they fit your current setup rather than replacing it.

Ready to put generative & agentic AI to work?

Book a 30-minute consultation and we will map the highest-leverage first use case.