# Ales Analytics | Private AI, designed around your work > Ales Analytics designs, builds and maintains private AI systems, deployed in your own cloud account or on your own servers, built around the way you work. - Web page: https://www.alesanalytics.com/ - Markdown: https://www.alesanalytics.com/index.md - Publisher: Ales Analytics ## Your way of working, made powerful. We fit modern computing around the systems and people you already rely on. You and your team get back to the work you're proud of. ## What we build ### Document intelligence [Document intelligence](https://www.alesanalytics.com/capabilities/document-intelligence): Extraction of invoices, forms and scanned documents into structured records, each value traceable to its source page. - Invoices, delivery notes, forms and scans - Every value linked to its source page - Low-confidence fields routed for review ### Reporting engines [Reporting engines](https://www.alesanalytics.com/capabilities/reporting-engines): Recurring investor, tax and regulatory reports, generated from existing system exports and verified before release. - Built from existing system exports - Every figure calculated in tested code - Release checks before distribution ### Knowledge systems [Knowledge systems](https://www.alesanalytics.com/capabilities/knowledge-systems): Answers drawn from an organisation's own documents, with the source cited and access controls applied. - Answers drawn from internal documents - Source cited with every answer - Access controls applied per user ### Supervised agents [Supervised agents](https://www.alesanalytics.com/capabilities/supervised-agents): Multi-step processes executed across business systems, with human approval at every material decision. - Prior authorizations, onboarding and appeals - Steps executed across multiple systems - Human approval for every material decision ### Data foundations [Data foundations](https://www.alesanalytics.com/capabilities/data-foundations): A single, governed record for each product, client and supplier across ERP, CRM and accounting systems. - One record per product, client and supplier - Synchronised automatically from source systems - Full lineage to every source ### Decision systems [Decision systems](https://www.alesanalytics.com/capabilities/decision-systems): Live dashboards and planning tools for margin, cash and operations, built on verified data. - Live margin, cash, denial and shipment views - Quoting and forecasting tools - Built on governed, verified data ### Private AI infrastructure [Private infrastructure](https://www.alesanalytics.com/capabilities/private-ai-infrastructure): Models, gateway and tooling deployed in the client's own cloud account or on-premises servers. - Client cloud account or on-premises servers - External services only by approval - Usage and cost reported by team ## Solutions for every industry Whatever your sector, every system we build is designed around the way your organisation works. ### Financial services Technology built around the way investment firms, advisers and financial institutions operate, with the accuracy, security and auditability the sector demands. https://www.alesanalytics.com/industries/investment-firms ### Professional services Systems that fit the way legal, accounting and advisory practices work, with client confidentiality protected throughout. https://www.alesanalytics.com/industries/legal-and-professional ### Logistics and supply chain Technology that connects the people, partners and systems behind the movement of goods. https://www.alesanalytics.com/industries/logistics-and-distribution ### Manufacturing Systems built around how manufacturers design, produce and deliver, connected to the systems already in place. https://www.alesanalytics.com/industries/manufacturing ### Healthcare Technology designed for healthcare providers and organisations, deployed within their own environment. https://www.alesanalytics.com/industries/healthcare ### Other industries Our approach starts with how an organisation works, not with its sector. Whatever your industry, we design and build around your requirements. https://www.alesanalytics.com/contact ## Systems your organisation can depend on. Organisations choose Ales Analytics because what we deliver fits how they already operate, runs inside their own environment and is accountable at every step. Each engagement is led by the engineers who build the system, scoped in writing before work begins, and supported long after launch. ### Accountable Every figure, answer and completed form traces back to its source record, with a full audit trail of who approved what. ### Secure by design Deployed in your cloud account or on your own servers, under your identity provider, with every outside call approved and logged. ### Built to last Tested against your own work before launch, monitored afterwards, and designed so that models can be replaced without rebuilding. ## Resources by role Guidance for business leaders, operations and IT teams, and engineers. ### Sector solutions Business leaders. An overview of the sectors we work in and how every system is designed around the organisation it serves. - [Investment firms](https://www.alesanalytics.com/industries/investment-firms) - [Legal and professional](https://www.alesanalytics.com/industries/legal-and-professional) - [Logistics and distribution](https://www.alesanalytics.com/industries/logistics-and-distribution) - [Manufacturing](https://www.alesanalytics.com/industries/manufacturing) - [Healthcare](https://www.alesanalytics.com/industries/healthcare) ### Architecture and integration Operations and IT. Reference deployments, integration with ERP, CRM and practice systems, and the access, logging and security controls behind every build. - [Reference deployments](https://www.alesanalytics.com/docs) - [Data foundations](https://www.alesanalytics.com/capabilities/data-foundations) - [Private infrastructure](https://www.alesanalytics.com/capabilities/private-ai-infrastructure) - [Documentation](https://www.alesanalytics.com/docs) ### Engineering notes Engineers. How we design, adapt, serve and tune the systems we build, from the workflow down to the GPU kernel, with diagrams and worked examples. - [Systems architecture](https://www.alesanalytics.com/engineering/systems-architecture) - [Model adaptation and evaluation](https://www.alesanalytics.com/engineering/model-adaptation) - [Inference performance](https://www.alesanalytics.com/engineering/inference) - [GPU kernel engineering](https://www.alesanalytics.com/engineering/gpu-kernels) ## From the blog Practical reading on building systems that last, from getting your data ready to planning what it costs to run. - [What makes enterprise AI work](https://www.alesanalytics.com/research/why-enterprise-ai-fails): What separates AI systems that reach production from those that stall, and why fitting the system to the workflow makes the difference. - [Getting your data ready for AI](https://www.alesanalytics.com/research/data-foundation-layer): How to build a data layer your systems can rely on: where every fact lives, how it stays current, and who can see what. - [Planning AI costs from pilot to production](https://www.alesanalytics.com/research/cost-cliff): How AI running costs change as usage grows, and how to plan for them so production costs hold no surprises. ## Get ahead with Ales Analytics Tell us what you want to build. Our engineers take it from the first conversation to a system your team relies on every day. https://www.alesanalytics.com/contact ## Contact solutions@alesanalytics.com, or https://www.alesanalytics.com/contact. - Every page as Markdown: https://www.alesanalytics.com/llms.txt