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Nuro AI Labs
About the lab

A frontier AI research lab building personal and general intelligence — for every mind.

An AI research lab founded in November 2024 in London. Personal intelligence is our central thread — but we work across language models, architectures, reasoning and the systems on top, and we ship the results in public.

Incorporated
Nov 2024
Companies House
#16079959
Registered office
128 City Road, London EC1V 2NX
Mission

Personal intelligence, compounded.

Building personal and general intelligence — for every mind.

We treat frontier AI as one connected research programme. Personal intelligence — persistent memory, self-reflection, per-agent cognition — is the through-line that ties our work together, but it's not the only thing we work on. Some of our research is on language models and reflection (AVALON-2B). Some is on byte-level architectures and routing (PLMR). Some is on systems we haven't named yet (Hydra). Some ships as open weights. Some ships as commercial infrastructure (Hypersave) or applied products (Khyaa, the Nuro stack). The pattern: do real research, ship real things, move the frontier a little forward each time.

We build that compounding in three layers — open research, commercial infrastructure, applied products — and we hold ourselves to seven principles so we don't lose the plot along the way. The applied work is not a distraction from the research. It is the test of it.

Our journey · so far

Eighteen months. Three research lines. Five shipped products.

A short history of the lab. We ship in public, incrementally — and we don't pre-announce.
Nov 2024 · Foundations

Nuro AI Labs incorporated.

Private limited company registered at Companies House #16079959. London office at 128 City Road, EC1V 2NX. Three founders, one thesis: personal intelligence is the bottom-up route to general intelligence.
2025 · Research begins

Hypersave research kicks off.

Brain-inspired cognitive memory architecture for AI agents — five sectors, Ebbinghaus decay curves, RRF hybrid retrieval, ten-stage query pipeline. The infrastructure layer that makes per-agent cognition possible.
Q3 2025 · First partners

Khyaa onboards US RIA design partners.

Personal intelligence for US financial advisors. Free beta with named registered investment advisors as design partners. Pre-meeting briefings, on-device voice capture, cited-answer Ask across the book.
Apr 2026 · Open weights

AVALON-2B released, Apache 2.0.

First sub-3B language model with Self-Reflective Retrieval-Augmented Generation. 1.88B parameters, 82.5% Self-RAG token accuracy, 40 tok/s on Apple M3. Live on Hugging Face and Ollama.
Read the paper
By the numbers · Apr 2026

Small lab. High signal.

We measure the lab by what we ship and what we publish — not by headcount or spend.

5+
People in the lab
Research · Infra · Applied · Ops
3
Open research lines
AVALON · PLMR · Hydra
5
Shipped products
Hypersave · Khyaa · Nuro stack
Borrowed authority · advisor view
Memory is the missing layer. Anyone who has watched a frontier model reset between sessions knows the ceiling isn't parameter count — it's that nothing carries forward. The bet on personal intelligence as the compounding substrate for general intelligence is the right bet, and it's startlingly under-served.
Dr. M. Hollins · Independent advisor · former research lead, applied ML

Composite quote drawn from advisor conversations. Attribution by request — full named advisory list on /press.

What we work on · three concentric layers

Research → infrastructure → applied → operations.

The same shape as Anthropic, OpenAI and DeepMind. Open at the research layer, commercial at the product layer, with the operating layer that lets the other three compound.
Layer 01 · open

Research

Open-weights papers and models. Apache 2.0 by default. AVALON-2B is live; the PLMR preprint is imminent; Hydra is in active development. The published research is the marketing.

See research
Layer 02 · commercial

Infrastructure

Hypersave — the cognitive memory layer for AI agents. Five sectors, hybrid retrieval, sub-200ms p95, SOC 2 Type II. Beats every adjacent agent-memory system on LoCoMo head-to-head.

Hypersave
Layer 03 · commercial

Applied

Vertical and consumer products that prove the research works. Khyaa, Nuro Studio, Nuro Chat and Nuro One — compliance-aware, citation-backed, on-device first.

Products
Layer 04 · operations

Operations

Finance, legal, hiring, partnerships and the boring infrastructure that lets the other three layers compound. Small, deliberate, and built for a decade rather than a quarter.

Careers
Principles · how we operate

Seven things we hold ourselves to.

and so we don't lose the plot

Tap any principle to read the long form. The first three are the load-bearing ones.

01

Open research, commercial products.

Our research output is open by default — weights, training code, and the synthetic-data pipelines that produced them. AVALON-2B is the proof. Our products are commercial: Hypersave, Khyaa and the Nuro stack are how we fund the lab. The split is deliberate, and it's how Anthropic, OpenAI, Mistral and DeepMind all actually operate.

02

Personal first.

Every advance we ship has to make at least one specific mind better — one user, one agent, one team — before it makes the world better. We do not chase abstract benchmarks at the cost of the unit we serve.

03

Compounding, not theatrical.

We ship in public, incrementally. We do not pre-announce. We do not promise products we have not built. The published research is the marketing.

04

Accountable.

Every claim is auditable. Every benchmark we publish has reproducible code. Every Khyaa answer cites its source. Every Hypersave query carries a confidence score. We treat citation as a first-class product feature.

05

Useful before grand.

A frontier lab that doesn't ship what it builds is a research department. We ship Hypersave, Khyaa and Nuro Studio alongside AVALON and PLMR. The applied work is not a distraction from the research — it is the test of it.

06

For every mind.

Personal intelligence is not luxury infrastructure. The cognitive memory layer should run on a phone, in a regulated bank, in an SME, in a classroom — not just in a hyperscaler. Geography of compute should not gate access to intelligence.

07

Patient about the destination.

General intelligence is the goal. We don't think it's three months away, and we don't think the path runs through a single 10-trillion-parameter pretraining run. We think it runs through compounding — through architecture, through memory, through reflection. We are willing to take a decade.

Governance

How the company is structured.

We are a UK private limited company. Plain-text and auditable — every claim on this page is filed publicly with Companies House.

View Companies House filing ↗
Legal name
Nuro AI Labs Limited
Entity type
Private limited company (UK)
Companies House #
16079959
Date of incorporation
14 November 2024
Registered office
128 City Road, London EC1V 2NX, United Kingdom
Directors & officers
  • Akhil Ponnada · Founder & CEO
  • Naga Sri Arvapalli · CTO
  • Naveen Yelloji · Executive Director
Where we are

One office. London.

We are deliberately concentrated in one location. The lab works in person.
Headquarters · Nov 2024

London

128 CITY ROAD · EC1V 2NX · UNITED KINGDOM
Reach the lab

Visits by appointment only. The fastest way to reach the lab is email — we read everything sent to hello@.

Newsletter · slow updates

One email per release. No marketing.

When a paper drops, when a product ships, when something material happens — that's when you'll hear from us. Unsubscribe anytime.

Open roles · rolling basis

Want to help us build the future?

We hire research engineers, applied engineers and GTM operators on a rolling basis. Small lab, high signal, decade-long horizon.