Overview
Connections
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Team
201-500
employees, estimated range
Hiring now
9
+3 posted in 30 days
Backers
1
NXTP
Momentum
28/100
hiring for its size, in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
2024 Founded
Tractionpublic signals, read monthly
Web presence
top 29%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
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Built by Fundamental, a frontier AI research lab, NEXUS is the Large Tabular Model reimagining enterprise decision-making.

Overview

A frontier AI lab building predictive models for enterprise decisions. We pre-train a Graph Foundation Model on the relational economy, then fine-tune inside your workspace — for credit, fraud, marketing, growth, and any task with a graph underneath it.

Connections

List
Graph
Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors1
NXTPVia a fund
58 portfolio companies: Glasslake, Asteraslab, WAID and 55 more

News

Blog 2 months ago
LLMs vs. RFM: why ChatGPT can't predict your customer's next move
LLMs read, summarize, and reason over language, but they can't tell you which customer will churn or default. Why prediction over structured business data needs a different kind of foundation model.
Read more
Report
Award realestate.usnews.com 3 months ago
Avra Valley is one of the Best Places to Live in America.
What is it like living in Avra Valley, AZ? Discover the cost of living, climate, transportation, things to do and more!
Read more
Report
Blog 3 months ago
Graph foundation models in production
Part 3 of a three-part series on Avra's Graph Foundation Models: the measured performance gains from a live client deployment - where relational embeddings were the single largest driver of improvement - and what we're building next.
Read more
Report
Blog 3 months ago
Inside the Graph Foundation Model
Part 2 of a three-part series on Avra's Graph Foundation Models: why heterogeneous graph neural networks, what the proprietary Large Knowledge Graph is, and the engineering decisions behind the model - Matryoshka embeddings, sampling at scale, and hard co
Read more
Report
Blog 3 months ago
From enterprise data to graph embeddings
Part 1 of a three-part series on Avra's Graph Foundation Models: how a client's relational database becomes a temporal graph, and from there the embeddings that downstream models consume.
Read more
Report
Blog 6 months ago
Forward Deployed Engineers: the future of enterprise AI is built inside the customer
What Avra's FDEs actually do, and why enterprise AI in Brazil doesn't work without consultative deployment
Read more
Report
Press release PRNewswire 7 months ago
Sky-High Views, Prime Downtown Location and Resort-Style Amenities Define Life at Avra at Metropolitan Naples in Southwest Florida
/PRNewswire/ -- In the luxury real estate market, three elements consistently shape buyer demand: spectacular views, thoughtful amenities and an exceptional...
Read more
Report
Press release PRNewswire 7 months ago
Unparalleled Sky-High Views at Avra Metropolitan Set a New Standard in Naples, Florida Living
/PRNewswire/ -- Avra at Metropolitan Naples is capturing attention for offering views no other building in Southwest Florida can match. The striking new...
Read more
Report
Show more news

Tech stack

Technologies named in job postings at Avra over the last 12 months, by layer, with the share of postings for each.
Technologies in use
31
Postings analysed
10
Stack modernity
76/100AI adopter
Languages
Python30%
SQL10%
C++10%
Rust10%
Frameworks & libraries
Ray30%
PyTorch20%
CUDA20%
OpenTelemetry10%
Cloud & platforms
AWS50%
OpenAI30%
Kubernetes20%
Amazon EKS20%
AI & ML
Claude20%
LLM10%
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Full Avra tech stack 31 technologies · by team · pay by technology · changes · similar stacks

Growth

Hiring Momentum
40/100
Stable
Open positions
9
1 opened / 2 closed in 30 days
Median time-to-fill
44 days
faster than 30% of the market
ATS activity
Every ~5 hours
Today
Hiring Dynamics 0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
30% ▲
Solutions
20% ▼
Leadership
10% ▲
Administrative
10% ▲
HR
10% ▲
Sales
10% ▼
Activity Timeline
Added SLI/SLO/SLA to stack Oct 2026
Added Notion to stack Oct 2026
Added In-Context Learning to stack Oct 2026
Added Self-Supervised Learning to stack Oct 2026
Added Knowledge Graph to stack Oct 2026
Added Embeddings to stack Oct 2026
Added SQL to stack Sep 2026
Added Python to stack Sep 2026
Added A/B Testing to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
São Paulo
São Paulo Brazil
HQ
8 open roles 9 posted in 90 days 25% engineering 38% remote 200-500 est. staff
hires for AI/ML, Solutions, Administrative
seen since Apr 2026 job postings

Jobs

≈ $81k – $182k per year (Estimated) · Remote (Brazil) · Full-Time
In-Context Learning
Time Series
OpenAI
Post-training
DevOps
AWS
Apply
≈ $73k – $168k per year (Estimated) · Remote (Brazil) · Full-Time · São Paulo
Python
Ray Serve
Fine-tuning
Ray
Post-training
DevOps
GCP
AWS
Kubernetes
Amazon EKS
Google GKE
Cybersecurity
Sophos
Apply
≈ $75k – $172k per year (Estimated) · Remote (Brazil) · Full-Time · São Paulo
Ray
DevOps
Terraform
GCP
Helm
OpenTelemetry
AWS
Kubernetes
Amazon EKS
Google GKE
Incident Management
SLI/SLO/SLA
Apply
≈ $52k – $121k per year (Estimated) · Hybrid · Full-Time · 5+ years exp · São Paulo
Python
SQL
A/B Testing
Apply
≈ $42k – $111k per year (Estimated) · Hybrid · Full-Time · 4+ years exp · Bachelor's Degree · São Paulo
OpenAI
DevOps
AWS
Apply
≈ $78k – $179k per year (Estimated) · Remote (Brazil) · Full-Time
Rust
C++
Fine-tuning
PyTorch
In-Context Learning
Time Series
CUDA
Triton
Post-training
Recommender Systems
Apply