About Bonrock

We help organizations become AI-native, bringing AI into everyday work with security and reliability built in.

Bonrock helps organizations become AI-native: running their reporting, data and daily operations on AI assistants, agents and automated pipelines that do real work, on data that stays secure and private.

Experience building systems for businesses of all sizes, including companies valued at over US$100 billion.

We take an idea from first conversation to a running system, and we stay to keep it fast, safe and affordable.

years building software: 20+; years building software
companies supported with annual revenue above US$1B: 10+; companies supported with annual revenue above US$1B
market value of a company supported through our work: US$100B+; market value of a company supported through our work
regions: Canada, the US, Asia and Europe: 4; regions: Canada, the US, Asia and Europe

What we do best

Becoming AI-native takes more than adding a chatbot. It takes systems that hold up on the hard days: an attack, a rush of users, a flood of messy data.

Your path to AI-native

We don't bolt AI onto old software. We learn how your organization actually works, then rebuild it around AI step by step: assistants that answer from your own data, agents that finish multi-step work, and pipelines that run on their own, with people approving what matters.

Data security

Each client's data is kept separate, every service gets only the access it needs, and every sign-in and change is recorded. We test our own systems the way an attacker would, and build to recognised security standards your auditors can check.

Data privacy

Your data stays yours. It is never used to train public AI models, it is protected in storage and in transit, and only the people and services that need it can see it. We can host it in Canada or the United States.

High concurrency

Systems rarely fail on an ordinary day. They fail at month-end, on launch day, or when thousands of users arrive at once. We measure real traffic, find the true bottleneck and design for the peak.

Efficient AI systems

Fast, accurate and affordable. We pick the right model for each step, ground answers in your own data, reuse work instead of repeating it, and measure quality with tests, so results are reliable and AI bills stay under control.

Data mining and analytics

We gather data wherever it lives: websites, partner systems, public networks, spreadsheets, surveys and old databases. Then we turn it into clean datasets, dashboards and analysis that reveal patterns, outliers and early signals.

AI automation and pipelines

We automate the repetitive work: collecting, checking and reporting data, drafting documents, routing requests. Every pipeline fits your existing processes, approvals and compliance rules, so the whole organization works faster.

What we deliver

Reporting and data platforms

Dashboards, surveys and print-ready reports that turn messy data into numbers executives, regulators and the public can trust.

AI assistants that do real work

Assistants that answer questions from your own data, draft reports, build charts and run multi-step tasks, with people approving what matters.

Custom software and integrations

Web and mobile apps, APIs and integrations that connect the tools your team already uses, on Azure or AWS.

Lower running costs

We regularly cut cloud bills for individual services by half or more without slowing anything down.

Who we work with

We have supported, and continue to support:

Large public companies

Publicly listed companies with demanding reporting, compliance and operational requirements.

Regulated organizations

Organizations that answer to regulators, boards and the public, including a government-owned enterprise.

Technology and AI platforms

Technology companies in Asia and Europe, including a multi-billion-dollar platform company.

Earlier work

International consumer brands, a national professional association, a city government and local businesses.

Most of our clients are in Canada and the United States, with partners in Asia and Europe.

How we work

Plain language first: we agree on the outcome before we write code.
Small, frequent releases, each one tested before it reaches your users.
People stay in charge: AI drafts and acts, your team approves what matters.
We document everything, so your team is never locked in.

For technical readers

The tools and platforms behind the work above.

AI and LLM engineering

Tool-calling agents and multi-agent systems in production
OpenAI and Anthropic APIs, Azure AI Foundry, OpenAI Agents SDK, LangChain, LangGraph
MCP servers, streaming copilots (CopilotKit / AG-UI), structured outputs and evaluations
RAG over company data, sandboxed code execution, human approval in AI workflows

Backend and data

C# / ASP.NET Core, ABP Framework, EF Core, Dapper, Hangfire
Python (FastAPI), Node.js and TypeScript
SQL Server, PostgreSQL, Redis, DynamoDB
Data collection, ETL pipelines, workflow engines and print-ready PDF reports

Frontend and mobile

React, Next.js, Vite, Tailwind CSS
Charts and maps: Chart.js, Recharts, D3, Leaflet
iOS and Android apps published to the app stores

Cloud, security and delivery

Azure: App Service, Azure SQL, Front Door, private networking, Entra ID, Defender, Sentinel
AWS: ECS Fargate, Lambda, CloudFront, S3, IAM, KMS
Multi-tenant SaaS with strict separation between clients
GitHub Actions CI/CD, zero-downtime releases, Playwright end-to-end testing

Work with us

Tell us what you are trying to do. We will reply with a clear, honest plan.