Avra
As of 30 October 2026, Avra has 9 open roles (3 new in 30 days), its software engineering team is hiring most, and its postings name Kubernetes, Google Workspace and Notion as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- São Paulo, São Paulo, Brazil
- Employees
- 51-200 employees (estimated)
- Sells to
- enterprises running decision systems, credit, fraud, growth teams, financial institutions
- Certifications on site
- ISO 27001
- Site languages
- EN
- Career system
- Ashby
Avra in one screen
Read from avra.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Avra is an AI software company that builds graph-based predictive models for enterprise credit, fraud, and growth decisions. It offers no-file scoring, pre-incorporation entity scoring, customer-specific fine-tuned models, and an API, SDK, and playground. It serves enterprises running decision systems at real scale.
Named on the site: enterprises running decision systems, credit, fraud, growth teams, financial institutions, enterprise decision teams.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 598 scored.
What Avra says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
You'll run governed model releases reliably and efficiently — in our cloud and on customer-hosted Kubernetes — and make inference fast, predictable, and cheap enough to serve both enterprise and mid-market customers.
• Tools: familiar with Slack, Google Suite, Notion, Claude, etc.• Tools: familiar with Slack, Google Suite, Notion, Claude, etc.• Tools: familiar with Slack, Google Suite, Notion, Claude, etc.• Skill at profiling and optimizing data-heavy Python pipelines.• Strong experience with Kubernetes and infrastructure as code (Terraform / Helm ).• Deep experience with OpenTelemetry and observability backends.• Excellent fundamentals and implementation skills: you train models in PyTorch yourself, including multi-GPU runs you've debugged• Proficiency in Python and SQL; comfort working with APIs and basic software engineering concepts (version control, deployment, testing).• Strong experience with Kubernetes and infrastructure as code (Terraform / Helm ).• Tools: familiar with Slack, Google Suite, Notion, Claude, etc.
• GCP or GKE, AWS or EKS.• Arrow, Parquet, Lance, or other columnar formats.• Arrow, Parquet, Lance, or other columnar formats.Vendors whose code loads on avra.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
9 open roles, 9 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in Brazil →
| open · new 30 d | |
|---|---|
| Software engineering | 3 · 0 |
| Data & AI | 2 · 0 |
| Administration & office | 1 · 1 |
| Human resources | 1 · 1 |
| Research and science | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Avra to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Avra
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 598 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Avra (São Paulo, Brazil, 51-200 employees) has 9 open roles, 3 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/avra.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from avra.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Avra: questions
Does Avra use Kubernetes?
Yes, by the company's own words: 2 postings name it, first seen 2026-09-23, in the data & ai team.
Is Avra hiring?
9 open roles as of 30 October 2026, 3 opened in the last 30 days and 1 closed. The largest team hiring is software engineering.
Where does this profile come from?
From avra.ai itself: we crawled it on 2026-08-02, built the profile on 2026-08-15, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Avra?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 4 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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