Products here's one we made
earlier
These are systems and solutions we have built and deployed widely. We can customise these for you too, or create exactly what you need as a bespoke product.
ToPiC
ToPiC: the Tracker of Performance and Improved Confidence is a tool we created specifically for the customers of Telos Partners, in order to improve the appraisal process, and get a more complete review of performance.
By measuring not just what we do, but the way that we do it, our customers can improve cultural behaviours, leading to better success outcomes.
- Powerful technical tool, provides insights that can be used for coaching and development.
- Compares results with behaviours, and self-reflection vs. feedback.
- Detailed analysis and customised, interactive reporting. Reports can be aggregated, grouped by team, or personalised to each individual.
- Easy to use, fast to deploy, and configured and branded for your needs.
- Adaptable for other measurement, feedback, and assesment tasks.
- Proven technology; validated methodology.
OpenStack
OpenStack is private cloud infrastructure which is more flexible, has better privacy, and is radically lower-cost than competing public cloud sustems.
We can to help you exit the cloud, and can provision a managed service, or a turnkey system ready to hand over to you.
- Powerful, industrial-strength, stable and feature-complete.
- Flexible: enables very large VMs, faster CPUs, and tunable storage.
- Private: you control access, security, data-sovereignty, jurisdiction, and data-protection.
- Open source: control, your own destiny, with no vendor lock-in, and no license fees.
- Lower TCO: own rather than rent, with < 1 year payback.
- Add open source applications for a complete infrastructure, on the most widely-deployed open source cloud software in the world.
Local A.I.
Large Language Models (LLMs) are a breakthrough in search and human-computer interaction. However, they have problems with accuracy, relevance, privacy and cost.
We have deployed LLMs with appropriate filtering, privacy and guard-rails, and using Retrieval Augmented Generation to improve contextual relevance. We continue to track the state-of-the-art, and use other Machine Learning algorithms for process optimisation, and complex classification tasks.
- Data privacy: avoid the risk, (and customer concern), that your data might leak into a public dataset.
- Relevant: query against your documents, and prioritise your data, processes and policies in the results.
- Significant reduction in cost (potentially > 100×) across the organisation.
- Guard rails provide advice, logging, audit, and feedback.
- Accuracy: know precisely where the pitfalls lie.
- A.I. is more than just LLMs; use the full suite of Machine Learning (M.L.) tools.
If you would like one of these systems, customised to your requirements, please contact us: we'd be delighted to help.