FAQ

About Brainstack Technologies

What is Brainstack Technologies?

Brainstack is a software engineering firm founded in 2016. We build custom software, run dedicated engineering teams, and help companies modernise legacy systems. We operate from a Melbourne office (Level 27, 101 Collins Street, Melbourne VIC 3000) with our engineering delivery centre in Delhi NCR, and serve clients across Australia, the United States, the United Kingdom, and India. Our work covers fintech reporting, offline-first agritech, EUDR compliance, government programme tooling, and document AI.

Where is Brainstack Technologies located?

Brainstack's registered office is at Level 27, 101 Collins Street, Melbourne VIC 3000, Australia, and visitors can meet the team there. Its coordination office is at 251 Frontier Avenue, Aintree VIC 3336, and its engineering delivery centre is at D-153, Upper Ground Floor, East of Kailash, New Delhi 110065, India. The company serves clients across Australia, the United States, the United Kingdom, and India.

What industries does Brainstack Technologies serve?

Brainstack Technologies has delivered technology solutions across eight core verticals: financial services, healthcare, agricultural technology and sustainability, EdTech, telecom and connected systems, smart energy, e-commerce, and governance and compliance. The team brings domain understanding of the regulatory, compliance, and user experience requirements specific to each industry.

Services

What services does Brainstack Technologies offer?

Brainstack Technologies offers application engineering (custom software development), AI and machine learning solutions (including intelligent document processing, generative AI integration, and agentic AI workflows), software testing and QA (automation, security, performance testing), web and mobile application development, DevOps-as-a-Service (CI/CD, cloud infrastructure, infrastructure as code), and technology consulting (architecture, stack selection, cloud migration strategy).

Does Brainstack Technologies offer AI and machine learning services?

Yes. Brainstack Technologies offers applied AI and machine learning services including ML model development, intelligent document processing, generative AI integration using LLM APIs and retrieval-augmented generation (RAG), agentic AI workflow design, and data engineering for analytics and ML workloads. The focus is on production-ready implementations that deliver measurable business outcomes.

What DevOps tools does Brainstack Technologies use?

Brainstack Technologies works with industry-standard DevOps tools including CI/CD platforms (Jenkins, GitHub Actions, GitLab CI), containerisation (Docker, Kubernetes), infrastructure as code (Terraform, AWS CloudFormation, Ansible), cloud platforms (AWS, Azure, GCP), monitoring (Prometheus, Grafana, CloudWatch, Datadog), and logging (ELK Stack, CloudWatch Logs). Tool selection is based on each client's specific requirements.

What automation testing tools does Brainstack Technologies use?

The QA team works with Selenium, Cypress, and Appium for test automation, JUnit and TestNG for test frameworks, REST Assured for API testing, and JMeter for performance and load testing. These tools are integrated into CI/CD pipelines to enable automated regression testing with every code deployment.

Engagement Models

How does IT staff augmentation work with Brainstack?

Brainstack's staff augmentation model provides skilled software engineers who integrate directly with your existing team and workflows. You retain full control over the project direction and daily priorities. Brainstack handles recruitment, onboarding, and HR management. Engagements can be short-term (a few weeks for a specific sprint) or long-term (ongoing team extension).

What is the difference between staff augmentation and software outsourcing?

With staff augmentation, Brainstack engineers work as an extension of your team under your direction and management. With software outsourcing, Brainstack takes ownership of the complete delivery — from requirements gathering and architecture through development, testing, and deployment. Outsourcing is typically chosen when the client wants a delivered product without managing the day-to-day development process.

What engagement models does Brainstack offer?

Brainstack offers four engagement models. Project outsourcing, where Brainstack manages the full delivery lifecycle. Staff augmentation, which adds engineers with specific skills to your existing team. A dedicated team for ongoing work, with engineers who work exclusively on your product. Tech consulting, for a written recommendation on a specific decision. All models operate on transparent pricing with regular progress reporting.

Working with Brainstack

Do I need a technical background to work with Brainstack Technologies?

No. Brainstack's engagement process is designed to be accessible to both technical and non-technical stakeholders. The team translates business requirements into technical specifications, provides regular progress updates in clear language, and ensures that decision-makers understand the trade-offs and options at each stage. Domain expertise matters more than technical background — you know your business, and Brainstack handles the technology.

How does Brainstack manage projects?

Brainstack uses Agile software development methodologies, primarily Scrum and Kanban. Projects begin with discovery workshops to define deliverables, followed by scoping sessions for timeline and resource estimation. Development proceeds in iterative sprints with regular demonstrations, stakeholder feedback sessions, and transparent progress reporting. The team uses standard project management tools and maintains open communication channels throughout the engagement.

What is the typical timeline for a software development project?

Timelines vary by scope and complexity. A minimum viable product (MVP) or focused proof of concept typically takes four to eight weeks. A full-featured custom application typically requires three to six months from requirements through deployment. Complex enterprise integrations or multi-phase projects may extend to six to twelve months. Brainstack provides timeline estimates during the scoping phase based on specific project requirements.

AI-Specific Questions

How long does it take to build an AI solution?

A focused proof of concept typically takes two to four weeks. A production ML model or generative AI integration typically takes six to twelve weeks from validated PoC to deployment. Agentic AI systems with multiple integrations may require three to six months for full production readiness. Starting with a PoC validates feasibility before committing to full development investment.

What is agentic AI?

Agentic AI refers to AI systems that can autonomously plan and execute multi-step tasks to achieve a defined goal, making decisions along the way about which actions to take and in what order. Unlike traditional automation that follows fixed sequences, agentic systems can decompose complex goals into sub-tasks, use tools such as APIs and databases, carry context across steps, and adapt their approach based on intermediate results.

Do I need a large dataset to use AI?

It depends on the approach. Traditional ML models typically require substantial labelled training data. However, generative AI solutions using pre-trained large language models can deliver significant value with much smaller proprietary datasets, especially when combined with retrieval-augmented generation (RAG) techniques. Data readiness is assessed during the initial engagement and the most appropriate approach is recommended based on what is available.