Avra

Decoding SMBs with Relational Foundation Models

Avra stands at the forefront of artificial intelligence innovation, specializing in a niche yet critically important segment of the market: small and medium-sized businesses (SMBs) in Brazil. Founded in 2024 by Viviane Meister and Bruno Alano—who brings valuable experience from his time at OpenAI—Avra is not just another AI startup riding the wave of generic large language models (LLMs). Instead, it pioneers a fundamentally different approach by leveraging relational foundation models based on Graph Neural Networks (GNNs). This technological choice reflects a deep understanding of the unique challenges that SMBs face, particularly in emerging markets like Latin America, where data complexity and fragmentation often hinder digital transformation.

Brazil’s SMB sector is massive and diverse, representing 99.1% of all businesses in the country. However, these businesses often lack access to sophisticated tools that could unlock growth and stability. Traditional AI models, largely designed around text or image data, fall short in capturing the intricate relationships between entities such as suppliers, customers, financial transactions, and market behaviors that define SMB ecosystems. Avra’s proprietary relational models analyze billions of data points not in isolation but as part of an interconnected graph, enabling a far richer, nuanced understanding of business dynamics.

This granular insight has direct, measurable value for Avra’s enterprise clients—which include banks, telecom operators, and digital marketplaces throughout Latin America. For financial institutions, Avra’s models enhance credit decision-making by providing a more accurate risk profile of SMBs, thus enabling fairer lending practices and reducing default rates. Telecom companies leverage Avra’s technology to tailor hyper-personalized product offerings that resonate with SMB customers’ real needs. Marketplaces use these insights to streamline customer acquisition strategies, better matching supply and demand while minimizing churn. In all cases, the technology drives new revenue streams and risk reduction, addressing a market segment historically underserved by advanced AI solutions.

By focusing on relational data and context, Avra’s platform transcends the limitations of agentic AI and generic LLMs, positioning itself as an indispensable partner for enterprises seeking to innovate in Latin America’s SMB ecosystem. The company’s work is not merely about incremental improvements; it is about redefining how large-scale enterprises understand and engage with the backbone of the regional economy.

A Culture of High-Caliber Innovation

Avra’s internal culture mirrors its technological ambitions—rooted in a relentless pursuit of technical excellence and innovation. The company’s decision to build proprietary foundation models from scratch, rather than rely on off-the-shelf AI frameworks, is emblematic of its commitment to pushing the boundaries of what AI can achieve. This approach demands a team composed of the highest caliber professionals with deep expertise in machine learning, data engineering, and software development, as well as a strong appetite for intellectual challenge.

The work environment at Avra is fast-paced and characterized by hyper-growth dynamics typical of early-stage startups operating in frontier technological spaces. Employees are expected to be self-starters, able to navigate ambiguity and construct scalable processes on the fly. This autonomy empowers team members to take ownership of projects and accelerate decision-making, resulting in a culture where innovation is both a daily expectation and a collective achievement.

Operating as a remote-first company with its headquarters in São Paulo, Avra balances geographic flexibility with a strong sense of collaboration. The remote-first model expands the talent pool beyond regional constraints, enabling the recruitment of world-class engineers, scientists, and business professionals who are aligned with the company's mission. Despite the physical distances, the company fosters a culture of close-knit teamwork, transparent communication, and mutual respect. This structure helps maintain high morale and creativity, even as the company scales rapidly.

Avra’s culture also thrives on diversity of thought and backgrounds. The founders and leadership team attract individuals who are not only technically gifted but also deeply curious and passionate about applying AI to solve complex real-world problems. The result is a stimulating environment where cutting-edge research meets practical enterprise application, offering employees the chance to contribute to category-defining technology with tangible impact.

What You'll Actually Do

Roles at Avra span a broad spectrum of responsibilities, united by the common goal of advancing the company’s proprietary AI models and delivering measurable business outcomes for clients. Technical team members—such as Data Engineers, Machine Learning Researchers, and Software Developers—play a crucial role in the end-to-end lifecycle of Avra’s foundation models. This includes activities like data ingestion and cleaning at massive scale, designing and implementing distributed training pipelines, optimizing graph embeddings, and deploying low-latency inference solutions to meet enterprise-grade performance requirements.

Working with Graph Neural Networks requires not only a strong foundation in machine learning theory but also practical skills in handling large, complex datasets with relational structures. Engineers and researchers at Avra must innovate continuously to improve model accuracy, scalability, and interpretability—all while maintaining robustness and reliability in production environments. This work enables the models to uncover subtle, non-linear relationships embedded in SMB data that traditional approaches might miss.

On the business side, roles such as Enterprise Sales Executives and Deployment Strategists serve as the bridge between Avra’s deep tech capabilities and the strategic objectives of large clients. These professionals translate complex AI functionalities into compelling business narratives that resonate with C-level stakeholders. They manage the entire sales lifecycle—from lead generation and qualification to contract negotiation and deployment oversight—ensuring a smooth journey from interest to value realization.

Collaboration between sales teams and technical deployment experts is a hallmark of Avra’s client engagement model. The Forward Deployment team works closely with clients to tailor solutions, integrate them into existing workflows, and deliver rapid time-to-value. This tight coordination ensures that Avra’s predictive models not only function technically but also drive actionable insights that directly impact client business KPIs such as credit risk mitigation, customer retention, and revenue growth.

In every role, Avra emphasizes ownership, problem-solving, and agility. Employees are encouraged to approach challenges with a startup mindset—experimenting boldly, learning quickly, and iterating relentlessly. This dynamic environment offers a rare chance to be deeply involved in building AI technology that intersects with real-world enterprise challenges at scale.

Compensation & Benefits

While Avra does not publicly disclose specific salary ranges, it positions itself as a competitive employer in the deep tech startup ecosystem, particularly within the Latin American market. Compensation packages are designed to be attractive and aligned with individual and company performance, offering meaningful upside potential through equity or other forms of long-term incentives. This structure reflects Avra’s early-stage status and its ambition to reward talent that contributes significantly to the company’s growth trajectory.

Backing from renowned global investors and strategic partnerships with technology leaders such as NVIDIA, AWS, and Google underscore Avra’s credibility and growth potential. These relationships not only provide financial support but also give employees access to cutting-edge AI infrastructure, cloud resources, and technical mentorship, enhancing the overall work experience.

Avra’s flexible work model, which combines remote-first policies with optional hybrid arrangements at its São Paulo headquarters, caters to diverse employee preferences and promotes a healthy work-life balance. This flexibility is increasingly important in attracting top talent in a competitive market, especially as professionals seek roles that accommodate personal circumstances without compromising career growth.

Beyond compensation, Avra offers the invaluable opportunity to work alongside a highly experienced founding team and industry veterans. This mentorship-rich environment accelerates personal and professional development, particularly for individuals passionate about mastering deep AI technologies and scaling innovative products. Employees also benefit from being part of a mission-driven company that is reshaping how enterprises engage with SMBs, providing a profound sense of purpose and achievement.

The Interview Process

Candidates considering Avra should prepare for a rigorous and thoughtfully designed interview process that reflects the company’s high standards and deep tech focus. While specific procedural details are not publicly outlined, applicants can expect multiple stages tailored to their functional area and the company’s startup culture.

The initial phase typically involves a screening to assess cultural fit and alignment with Avra’s core values: intellectual curiosity, autonomy, and resilience in a fast-paced, ambiguous environment. This step ensures that candidates possess the mindset necessary to thrive in a startup setting where roles are dynamic and require proactive problem-solving.

For technical roles, the process moves into in-depth assessments that test candidates’ expertise in relevant domains such as machine learning, data engineering, and software development. Expect technical interviews that challenge your understanding of Graph Neural Networks, distributed computing, data structures, and model deployment strategies. Practical coding exercises or take-home projects may also be part of the evaluation, designed to simulate real-world problems encountered at Avra.

Business and sales candidates face interviews that probe their ability to articulate complex AI solutions in business terms, demonstrate strategic thinking, and exhibit strong executive presence. Role plays or case studies involving negotiation and client engagement scenarios might be used to gauge readiness for managing enterprise sales cycles and stakeholder relationships.

Throughout all stages, Avra emphasizes a growth mindset and the capacity to embrace uncertainty. Interviewers look for candidates who learn quickly, communicate clearly, and contribute constructively to team dynamics. Demonstrating passion for AI’s transformative potential in emerging markets will also resonate positively with the hiring team.

Why Join / Why Not

Why Join: Avra offers a unique convergence of cutting-edge AI research and practical enterprise impact within Latin America’s rapidly evolving SMB sector. Joining Avra means working at the intersection of deep tech and real-world business challenges, where your contributions can create measurable value for some of the region’s largest companies. The startup’s proprietary technology, grounded in relational foundation models, represents a innovative departure from conventional AI approaches, providing an intellectually stimulating environment for technical and business professionals alike.

The company’s strong founding leadership, coupled with global investor backing and partnerships with technology giants, creates a stable yet dynamic platform for career growth. Employees benefit from a remote-first, flexible work environment that supports autonomy and creativity. If you seek the thrill of building category-defining products while shaping Latin America’s AI landscape, Avra is an exceptional place to grow your career.

Why Not: Avra’s environment is not suited to everyone. As an early-stage startup, it demands comfort with rapid change, ambiguity, and the absence of rigid corporate structures. If you prefer clearly defined roles, detailed playbooks, and a predictable work rhythm, Avra’s fast-evolving context may feel challenging. The company expects high levels of autonomy and initiative; those who require intensive managerial direction or thrive best in highly hierarchical organizations may find the culture difficult to navigate.

Furthermore, the intensity of a hyper-growth startup can be demanding, requiring resilience and a willingness to iterate quickly on both technical and business fronts. If you seek a more traditional, risk-averse work environment or do not want to engage with the complexities of emerging market SMBs, Avra might not be the ideal fit.

In summary, Avra is a compelling opportunity for professionals passionate about deep tech AI and eager to make a meaningful impact in Latin America’s SMB ecosystem, provided they are ready to embrace the challenges and rewards of a pioneering startup journey.