Mission
Empowering organisations with intelligent technology solutions that drive measurable business outcomes.
About 7AIBricks
At 7AIBricks, we help organisations transform ideas into intelligent solutions through AI innovation, automation and software excellence.
Austin · Remote-first · Serving 9 industries
Founded
2025
Specialists
34
Retention
92%
Who we are
7AIBricks designs and engineers AI software — custom applications, intelligent automation, machine learning models and data platforms — for companies that need results, not experiments.
We started the company after years of watching capable teams get stuck: brilliant pilots that never reached production, dashboards nobody trusted, and vendors who left when the contract ended. We wanted to do the opposite — stay close to the work, ship into production, and be honest when AI isn't the answer.
What drives us is the moment a system starts quietly doing the work a person used to dread. That's why most of our clients are still with us years later: we measure our success by what your team stops having to do by hand.
Practitioners on every call, no account layer.
Scope tied to a metric you already report.
Multi-year relationships, transferable ownership.
Our story
AI reset what software can do — but not how most organisations buy, govern or adopt it. The gap between a business problem and a working AI solution is where 7AIBricks was built to operate.
Four engineers leave enterprise consulting to build AI that actually ships.
An internal lab year: evaluation harnesses, retrieval patterns, automation blueprints.
A claims document pipeline cuts manual handling by 60% — and the framework is born.
Agents, forecasting and platform work across insurance, retail, utilities and public sector.
Delivery pods in three regions, and an open playbook for responsible AI adoption.
Empowering organisations with intelligent technology solutions that drive measurable business outcomes.
To become a globally recognised leader in AI innovation and digital transformation.
Why we exist
Most companies aren't short on ambition — they're short on capacity. Skilled people spend their days re-keying data, chasing approvals and rebuilding the same report. Meanwhile the data that could answer their hardest questions sits unused.
We believe AI earns its place only when it is practical, accessible and provably valuable. So we take the unglamorous work — the messy inputs, the edge cases, the integrations — and turn it into systems people trust enough to rely on.
Inefficient manual processes
→Automated, audited workflows
Underutilised data
→Decisions with forecasts attached
Growth capped by headcount
→Capacity that scales with demand
AI hype with no owner
→Production systems your team runs
LLMs, forecasting, vision and classical ML — chosen on merit, not fashion.
Every project opens with the P&L line it's meant to move.
Designed around your data, systems and the way your people actually work.
Model-agnostic architecture, so a better model is a config change — not a rebuild.
Your tenancy, least-privilege access, full logging, responsible-AI review.
Support, retraining and enablement — you own the code either way.
Capabilities
Depth ratings reflect delivered production work, not certifications.
Applied AI strategy and solution architecture end to end.
98%
Custom models, training pipelines and MLOps in production.
95%
RAG, copilots and document intelligence grounded in your data.
96%
Tool-using agents with guardrails, evals and human escalation.
90%
Back-office pipelines with exception handling and audit trails.
94%
Secure, cost-aware deployment on Azure, AWS and GCP.
92%
Warehousing, modelling and pipelines you can trust.
93%
Decision dashboards and forecasting in the tools teams use.
90%
Platforms, integrations and internal tools built to last.
95%
Customer and internal assistants that resolve, not deflect.
97%
Inside the company
We hire curious people and give them real problems. Every engineer talks to clients, every idea gets prototyped, and we publish what we learn — internally first, then openly.
Friday lab time, shipped or scrapped in public.
A funded study budget and paper-reading group.
Pods of four, no silent handoffs.
Designers in the room from day one.
Eleven nationalities, remote-first by design.
Code review and evals on everything we ship.
We stay model- and cloud-agnostic, then commit to the stack that fits your constraints.
GPT-class reasoning, tooling and embeddings.
Long-context analysis and agentic workflows.
Multimodal pipelines on Google infrastructure.
Enterprise governance, private networking.
Component systems for complex interfaces.
Server rendering, routing and edge delivery.
Service layers and real-time APIs.
Model training, pipelines and evaluation.
Preferred for regulated enterprise estates.
Scalable data and inference infrastructure.
BigQuery-centred analytics workloads.
Transactional core, with pgvector for retrieval.
Document stores for unstructured pipelines.
How we partner
We learn your process from the people who run it, then agree what success will be measured on.
A sequenced roadmap with costs, risks and the fastest route to first value.
Two-week increments, working software each time, no surprise reveals.
Monitoring, evaluation and retraining as data, volume and models change.
Enablement and SLAs so your team owns the system with confidence.
Whether you're exploring AI opportunities, looking to automate operations, or planning your next digital transformation initiative, 7AIBricks is ready to help.
30 minutes · No obligation · Reply within one business day