Advise
Executive-level data and AI strategy, transformation and governance grounded in decades of lived experience globally.
HUMAN-CENTRIC AI, BUILT AROUND YOU
Ideas into real intelligence.
We help corporate teams, small businesses and mission-led organisations put AI to work with human-centric intelligent products.
Sydney, AustraliaAdvise · Build · Invent
Why NxtLab
One team from first question to working system.
NxtLab combines executive judgement, applied research and production engineering.
Build
Production engineering for agents, integrations and platforms, with security, evaluation and human oversight designed in from the start.
Invent
Original research into human-centric and memory-augmented AI that underpins NxtLab’s personalised and long-lived AI agents.
In-house product evidence
EchoX - the AI Agent that knows your business, ready to be configured and deployed.
See EchoX (opens in a new tab)Evidence
Customer Case Studies
Problem we solved
Mothers experiencing emotional challenges, isolation or changes in identity need accessible, compassionate support. Mum Love wanted a safe, multilingual digital companion that could develop an ongoing understanding of each mother, provide personalised guidance and connect her with appropriate resources while respecting clinical boundaries.
What NxtLab did
NxtLab developed Kate, a personalised AI companion built on EchoX, supporting English and Arabic. We implemented persistent conversational memory, enabling Kate to remember previous interactions and build a deeper understanding of each user over time. Working with Mum Love's clinical psychologist, we established safety guardrails and integrated indexed resources, support services and peer stories.
Outcome
Kate is live on Mum Love's website, providing an always-accessible, multilingual companion designed to offer continuity, empathy and personalised support. Her conversational memory enables an ongoing relationship rather than isolated interactions. The service is early-stage, with user engagement and wellbeing outcomes yet to be measured.
Problem we solved
Preparing and reviewing regulatory submissions for complex medical technologies requires extensive specialist knowledge, detailed documentation and rigorous compliance checks. The client needed a more efficient and consistent approach to reviewing submission materials, identifying potential gaps and anticipating questions from regulatory authorities.
What NxtLab did
NxtLab collaborated with the client's regulatory and IT teams to develop specialised AI co-pilot agents. These agents interpret regulatory requirements, analyse complex submission documents and provide detailed feedback on potential compliance gaps and regulatory questions. The approach was iteratively refined and validated using historical submissions, regulator feedback and comparative reviews by human specialists.
Outcome
The AI co-pilots are now incorporated into the client's pre-submission document review process, supporting regulatory specialists with structured, evidence-informed assessments. The solution demonstrates how agentic AI can strengthen complex regulatory workflows while keeping expert judgement and final decisions firmly in human hands.
Problem we solved
Traditional commercial property searches focus on price, size and location, often overlooking the wider factors influencing business relocation decisions. The client needed a more personalised way to understand prospective tenants' needs, recommend suitable properties and generate better-qualified leads for its leasing team.
What NxtLab did
NxtLab developed a conversational AI agent that explores prospective tenants' requirements and recommends suitable properties and locations. Combining the client's property inventory with external data on demographics, transport, amenities, neighbouring businesses and local character, the agent evaluates both practical requirements and lifestyle preferences, creating tailored shortlists and passing qualified enquiries to leasing agents.
Outcome
The solution moved property matching beyond specifications to identify locations where businesses and their people could thrive. Leasing agents received better-qualified enquiries and richer insights into prospective tenants' needs, enabling more meaningful conversations and supporting commercial leasing decisions.
Problem we solved
The organisation wanted to build a shared understanding of AI across its leadership and workforce, moving beyond awareness into practical application. Its goal was to empower employees to achieve more through AI, while ensuring responsible adoption, appropriate guardrails and a consistent organisational approach.
What NxtLab did
NxtLab designed and delivered a two-day, hands-on AI programme for senior leaders, covering strategic opportunities, practical applications, responsible use and risk management. Participants learned to use AI in everyday work and build their own agents. Follow-on training extended these capabilities to the next management level, supporting broader organisational adoption.
Outcome
Senior leaders completed the programme equipped to apply AI confidently, develop their own agents and identify new opportunities for their teams. Subsequent training began extending this capability across the organisation, with the emphasis on empowering people to achieve more
Product
EchoX is a turn-key AI agent that can be configured and deployed to your business instantly
Built and supported by NxtLab. See how EchoX can help your business to engage customers and remember them.
Built by NxtLab
AI. Ready to go.
- Built by NxtLab
- Solve real business needs
- Try, demo or get started today
CONFIGURE YOUR VERSION IN TEN MINUTES
Your AI agent. In minutes.
See what EchoX could do for your business. Build your own preview in minutes, explore a live demo, or get started today.
Grounded answers
Use Word, Excel, PDF, Google Docs, images and website URLs as source material, with the option to stay within curated domain knowledge instead of public web content.
Same-account memory
Memory stays with the same signed-in account across visits.
Branding and dashboard
Advanced branding and tone, configurable dashboard and usage insights.
Request capture
Premium captures order, booking and callback requests, and routes them to your team.
Who we help
Different organisations. Different starting points.
Corporate & Enterprise
AI adoption that holds up across business units — integration, governance, risk, scalability and transformation, sequenced around commercial value.
Small Businesses
Practical applications that save time, sharpen customer engagement, automate routine work and stay accessible.
Mission-Led Organisations
Responsible AI that supports service delivery, makes efficient use of limited resources and keeps the mission in front.
About NxtLab
Strategy, engineering and original research. Together.
NxtLab is an AI innovation and technology company. Consulting, product engineering and original research sit in one team, so ideas move beyond slides into technology people can use.
Enterprise AI and data leadership
Experience leading AI, data and transformation programmes across regulated industries, large platforms and high-growth businesses.
Applied AI research
Researchers with doctorates in AI, statistics and machine learning, working across memory, multimodal systems and knowledge graphs.
Product and engineering depth
Product and engineering leaders who have taken complex, safety-critical platforms from concept into production.
Meet the team
Team locations: Sydney · Melbourne · Beijing · Mountain View · London
Research
Frontier research.
Training
Fluency - AI Training
Training · Executive programme
A bespoke executive programme that builds hands-on AI fluency using the tools the organisation already uses.
Research
Building Memory-Augmented AI Architectures
Research · 2026
How working context becomes session summary and durable knowledge — and how graph and episodic memory work together over time.
Research
MRMS: A Multi-Resolution Memory Substrate for Long-Lived AI Agents
Accepted · Poster, COLM 2026 · LLA
Long-lived AI agents require continuity across interactions, but continuity cannot be obtained by simply extending the prompt window. An agent must preserve useful prior experience, retrieve it selectively, distinguish personal context from external evidence, and revise memory when the underlying situation changes. We propose an architectural memory substrate organized along two orthogonal axes: a representational axis spanning structured records, vector representations, and graph relations; and a temporal axis spanning short-term traces, medium-term abstractions, and long-term semantic commitments. Its key design constraint is synchronized structured-vector-graph memory: structured records govern eligibility, vector representations support recall, and graph relations adjudicate support, contradiction, and supersession before gated context projection. Its central claim is that reliable personalization is a memory design problem: useful memory is structured, selectively exposed, continuously consolidated, and epistemically labeled rather than stored as undifferentiated conversation history. Beyond the framework, we instantiate MRMS as a lightweight prototype implementing structured records, vector retrieval, temporal policies, and graph-based revision. The prototype exercises the core substrate mechanisms through pre-generation memory selection, revision, boundary enforcement, and evidence attribution under controlled long-lived interaction scenarios with explicit evidence requirements.
Start here
Bring us the problem worth solving.
Whether you are setting a strategy, building a product or testing what comes next, we will start with the problem itself.