Auralis is a sovereign AI platform: AI agents, grounded search and local language models that run entirely on infrastructure you own. Nothing is sent to a cloud AI provider — not your messages, not your documents, not your questions.
Every day, decisions, commitments and client feedback disappear into message history. Most AI tools promise to fix that by shipping your data to someone else's servers. Auralis takes the opposite path: it turns your daily communications into trusted, searchable institutional knowledge — and keeps every byte inside your building.
Auralis connects to the places where work actually happens — starting with workplace chat — and builds a clean, deduplicated record of decisions, commitments and delivery discussions. Specialized agents then work on top of that record, never around it.
Models, data and automation live on your own hardware. There is no cloud AI dependency to audit, negotiate or worry about.
Every answer traces back to the exact messages and records that support it — receipts included, every time.
When the evidence isn't there, Auralis abstains instead of inventing. In benchmark testing it declined every no-evidence question — with zero fabricated answers.
Its flagship agent answers one question per project, per week: what meaningful difference did the team create for the client?
"What was decided about the July 15 release?" — answered in seconds, with the exact messages as receipts. Decisions, commitments and context stop vanishing when people scroll past them.
Every active project answers one question weekly: what meaningful difference did the team create for the client or business? Not a stand-up digest — an evidence-backed value report.
Explainable, evidence-based views of who delivered what — drawn from real work records, not self-reporting. Built to make invisible work visible, with human review on every output.
Surfaces credible, client-safe marketing stories from real project wins — with confidentiality controls and source provenance managed before anything reaches a draft.
Daily and weekly digests of what actually happened across teams and projects — generated on schedule, grounded in the record, ready before your first meeting.
One chat interface for everyone, with intelligent routing to the right capability behind the scenes — running entirely on your infrastructure through an OpenAI-compatible API.
"The team implemented semantic query routing." Work happened — that's all we know so far.
"Queries now route automatically to the correct knowledge workflow." Something real shipped.
"Users no longer pick agents manually, and irrelevant retrieval dropped." Behavior changed.
"The platform became easier to adopt, more accurate and more scalable." The client is better off.
Every claim has to climb the ladder. A dedicated Skeptic agent challenges weak evidence and inflated language before any report reaches a human reviewer — so what you read is what actually happened.
Every claim Auralis makes can be checked — by you, by your auditors, or by the agent whose only job is to disagree.
No report ships without a person signing off. AI drafts; your team decides.
Rules, schemas and audit records wrap every probabilistic step — so agents stay inside the lines.
A dedicated agent challenges inflated claims and thin evidence before anything reaches you.
A sovereign AI platform runs AI models, data storage and automation entirely on infrastructure you own and control. No prompts, documents or embeddings are sent to an outside AI provider. Auralis is Prestanda Consulting's sovereign AI platform for enterprise teams.
Yes. Open-weight language models now run well on hardware a company can own. Auralis performs summarization, retrieval, analysis and report generation with local inference, so it operates with no cloud AI dependency at all.
Cloud assistants send your data to third-party servers and answer from general knowledge. Auralis runs privately on your own infrastructure, answers only from your company's own records, cites the exact source behind every claim, and declines to answer when the evidence is not there.
Auralis starts with workplace chat, normalizing every message into a deduplicated, auditable knowledge base. The same ingestion architecture extends to other collaboration platforms, email, documents and ticketing systems.
Auralis uses a value ladder that separates activity, deliverables, outcomes and business value, backed by a maturity model and a dedicated skeptic agent that challenges weak claims. Each project receives a weekly, evidence-based business value report that a human reviews before it ships.
Auralis was designed for environments where data residency and confidentiality are non-negotiable. All inference happens on premises, every query and answer is logged with full provenance, and human approval gates sit in front of every published output.
We run a working session on a slice of your own data so you can judge the platform on real answers, not a demo script. From there, Prestanda Consulting deploys and operates Auralis on your infrastructure.