Brightstack
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Build the data foundation your future runs on.
AI infrastructure for complex, real-world operations—built to make data accessible, reliable, and ready for AI. We help industrial and operational teams modernize their data stack, integrate legacy systems, and create the foundation for AI-driven efficiency and decision-making.
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Social Proof
Trusted for clarity, not complexity
Trusted by enterprises to cut through complexity and deliver clarity at scale.
Where AI drives measurable outcomes
Translate AI potential into operational impact.
Identify high-leverage AI opportunities across your workflows, backed by clean data, governed models, and clear ROI.
Deploy AI securely across operations
Move from isolated experiments to production-grade AI. We handle deployment, security, and monitoring—so your teams focus on outcomes, not infrastructure.
Centralize and govern your documents
Unify scattered files, reports, and records under one searchable, governed layer. Version control, lineage tracking, and compliance come standard.
Build institutional knowledge systems
Transform static documentation into living knowledge networks. Search, tag, and connect insights across departments to accelerate operational learning.
Manage teams and accountability
Assign access, monitor activity, and understand how teams use data and AI tools. Governance and transparency built into every workflow.
Modernise your AI data foundation
Turn fragmented systems into a governed, AI ready foundation.
Assess architecture, remediate weak points, and align your stack so teams trust the numbers and AI has clean, reliable inputs.
Connect legacy and cloud systems
Securely integrate ERP, CRM, SCADA/IoT, and your warehouse. We use low-friction adapters, repeatable patterns, and built-in observability so data moves reliably.
Operationalise models, not pilots
Run open-source and commercial models where they make sense, on-prem or in the cloud, with monitoring, guardrails, and cost controls. No app rewrites.
Govern secrets, access, and risk
Manage keys, service connections, and role-based access from one place. Encryption by default, audit trails for compliance, and clear ownership across environments.
Education
Designed and delivered resilient infrastructure for high-volume education systems — from large district operations to a national continuing-education platform serving tens of thousands of professionals. Focused on stability, data integrity, and automation across complex workflows where uptime and compliance are critical.
Modernized fragmented systems into unified data environments. Implemented real-time reporting, API orchestration, and scalable backend services that handle significant concurrency and throughput under strict reliability standards.
Engagements & Pricing
Two focused options for fast outcomes
Pick a model that fits how you want to work—simple terms, clear outcomes.
Consulting
Hands-on leadership to align teams, de-risk decisions, and ship real outcomes across data & AI.
Starting at
$10,000
monthly rolling
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Executive + team workshops, discovery, and prioritization
Current-state architecture inventory (data, apps, AI)
Data quality, lineage, governance, and SLAs review
Security, cost, and risk baselines with clear trade-offs
Modernization & AI enablement roadmap (90-day / 6-month)
Implementation guidance, vendor selection, and pilot scoping
SMB Platform
A unified data + AI foundation for SMBs—clean pipelines, governed access, useful dashboards, and built-in automations.
Starting at
$500
monthly license fee
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Managed data pipelines with connectors to your core tools
Single source of truth dashboards with role-based access
Built-in governance: audit trails, PII handling, and approvals
Alerting and automations that reduce manual reporting work
AI assistants for common workflows (Q&A, summaries, forecasting)
Fast onboarding, success playbooks, and SLA-backed support
Frequently Asked Questions
We’ve answered the questions teams usually ask
when modernizing their data and exploring AI.
when modernizing their data and exploring AI.
Any SME that is struggling with unreliable data, multiple disconnected tools, inefficient pipelines, high maintenance costs, lack of data quality or visibility. If your team spends too much time cleaning, fixing data, or you don’t trust your reports, the audit can help you simplify and modernize.
AI Discovery combines evaluating your data health + readiness with identifying real use-cases, assessing feasibility (cost, risk, privacy), and creating a pilot roadmap. It’s more than brainstorming: it’s a concrete plan with architectural options and success metrics.
No. We work with a range of maturity levels. If you have fragmented systems, legacy tools, or even just spreadsheets, we’ll map what you have, see what needs improvement, and tailor recommendations to what’s feasible and high impact for you.
The Data Infra Audit takes about 2-3 weeks, and AI Discovery about 3-4 weeks. From your side, we’ll need access to your data systems, key documentation, and stakeholder interviews / workshops. We aim to minimise disruption.
You’ll receive a detailed report: current state of your data infrastructure, pain points, cost/risk assessment; a clear roadmap for modernization (for audits), or use-case prioritisation, pilot plan, risk & feasibility analysis (for AI Discovery). Plus, estimates for timelines & costs.
Data security is foundational. We follow best practices: encrypted transfers, restricted access, privacy risk assessment, compliance with relevant laws/regulations. If needed, we can work under NDAs and adapt to your internal security policies.
We establish success metrics up front: things like improvements in data quality, reduction in operational costs, number of validated AI use-cases, pilot performance, or time to insight. After delivery, we’ll compare to those benchmarks.
Ready to unlock value from your data?
Cut through the noise, unlock insights, and walk
away with a roadmap you can act on tomorrow.
away with a roadmap you can act on tomorrow.
Book Discovery Call
Brightstack
Future-proof your business with data + AI done right.