Xybern is an enterprise AI platform powered by our proprietary 7B reasoning model for low-hallucination workflows in regulated environments. We combine retrieval augmented research with policy aware, self-checking logic to deliver evidence linked, audit ready automation across compliance, finance, legal, and enterprise operations.
Run complex legal and finance matters in a single LLM-native workspace tuned to your team. Draft briefs, redlines, and investment memos while the AI assistant keeps every change linked to sources, policies, and approvals.
Explore WorkspaceIngest contracts, filings, policies, transcripts, and research into a single RAG-backed knowledge layer so your LLM always answers from your documents, with every claim cited back to the exact page, paragraph, or timestamp.
Explore WorkspaceXybern’s LLM reasoning core generates independent lines of analysis, scores them against your evidence, and reconciles them into a single recommendation with explicit trade-offs and confidence.
Explore Reasoning EngineRun Deep Research on documents, use Deep Reasoning to build multi-path legal or portfolio arguments, and layer on Contract Review, Risk Simulator, Case Law & Market Screener and Compliance Checker. Every claim is backed by anchored passages, citations, mandate checks, and an Audit & Provenance trail that exports as evidence packs for regulators, clients, and internal audit.
Designed With Legal Teams in Mind
Payment term of Net-90 deviates from Commercial Playbook §4.1 (Net-30 default). No clear late-fee or escalation clause.
Confidential information definition omits “derived data”; cross-border transfer language does not reference current SCCs.
Cap at 1× fees acceptable for low-risk engagement; playbook suggests 2× fees for business-critical services.
AI legal copilot for commercial contracts, NDAs, and MSAs that flags risky clauses, aligns drafts with your playbooks, and proposes redlines in seconds.
Solutions for Finance Teams
AI finance copilot that turns macro signals and internal data into board-ready scenarios with fully traced assumptions.
Evidence first. Conflicts surfaced. Confidence measured, with an LLM stack designed for regulated industries, not generic chat.
Use AI contract review and AI research copilots to flag risk hot-spots and deliver first drafts faster, without losing depth or context.
Automate repetitive LLM-friendly steps, extractions, comparisons, summaries, so your experts spend time on strategy, not admin.
LLM-optimized (LLMO) workflows help your team handle more matters and models in parallel, while keeping outputs explainable and on-policy.
Run a real workflow with your sources, reviewers, and policies on Xybern. Measure trust, speed, and audit readiness against your current process.
“In law and finance, confidence comes from a clear chain of evidence. Xybern makes every LLM conclusion traceable, from the source, through the reasoning, to the action.”
