Pre-signing
Diligence in the Data Room
Advisors review large volumes of documents under tight timelines. Natural language search replaces keyword filtering. Findings are reproducible and defensible.
Built for deals.
Now available everywhere data decisions matter.
Thermal adds a generative AI layer to the forensic-grade data platform our team has been delivering for years in high-stakes deal and regulatory work.
Where We Started
Every deal creates two phases of concentrated data work.
Most teams use one set of tools for the data room and a completely different set for enterprise separation. Thermal connects both phases in one platform, one workflow, one audit trail.
Post-signing
Classification and Separation
The scope expands to millions of files across the enterprise. Determine what belongs to the buyer, what stays with the seller, and what must be removed - then execute before close.
One platform from data room to close
The Cost of Getting It Wrong
Without real separation, teams default to one of three paths.
Keep everything
Buyer and seller data stays commingled. IP boundaries blur. Regulatory exposure carries forward indefinitely.
Delete everything
The timeline is protected, but business value is destroyed. Files that should have transferred to the buyer are gone.
Manual cleanup
Teams spend months sorting files by hand across thousands of employees. It works, but only deals north of $2B can afford it.
Thermal enables a fourth option: actual separation. Identify what belongs to the buyer, what stays with the seller, and what must be removed - then execute consistently, with an audit trail that holds up after close.
Beyond Deals
The same precision, applied everywhere sensitive data requires a structured response.
Deals are where we built it. The underlying capability - find targeted data, understand it, take defensible action - applies wherever the stakes demand it.
Adjacent Market Focus Areas
Legal
Litigation, Investigations, and Internal Reviews
Surface responsive documents across the enterprise with forensic-grade precision and a defensible collection process.
Opposing counsel just surfaced a document you should have found. The problem wasn't effort. Your search tools don't understand documents the way you do.
Find What Matters: Discovery is the work people do to find anything from the files they know they have, to complex regulatory filings with section references buried in the footnotes.
Real World Results: After months of stalled progress reviewing 1TB of discovery data, a law firm deployed Octosight and narrowed the dataset to 160,000 potentially responsive files. Within that set, the team identified and tagged documents by witness and charge in days.
What Octosight Solves: In legal discovery, investigations, and internal reviews, people are handed large volumes and must quickly identify what matters. CTRL+F replaced with forensic-grade search. Enter a keyword or topic once. Review highlighted matches across thousands of documents without opening files one by one. Original files stay where they are.
How Discovery Changes
- From searching to review.
- From manual preservation to remote execution.
Use Cases
- General discovery
- Contract and license discovery
- Early case assessment
- Litigation and investigation discovery
- Remote legal hold preservation
Financial
Investment and Operational Diligence
Review portfolio company data rooms with the same rigor deal teams apply to transactions, at the speed continuous investment evaluation demands.
Ever try finding a specific answer inside a virtual data room? And once you find the document, how do you know it tells the full story?
Make Defensible Decisions: Teams turn large volumes of VDR files into clear, usable answers.
Real World Results: Diligence teams indexed over 649,000 files and generated more than 100 million tokens for AI models. Teams reported hours saved per day with improved consistency and defensibility.
What Octosight Solves: Teams expected to extract clear answers from thousands of documents. AI seems like the answer, but token limits are hit silently. Content drops with no warning. Octosight changes diligence by letting teams find the exact set of documents, then AI runs only on that curated set.
How Diligence Changes
- From volume to focus.
- From searching to analysis.
- From assumptions to defensible answers.
Use Cases
- Investment and operational diligence
- Risk assessments (NIST, CIS)
Data Breach
Post-breach Analysis and Regulatory Reporting
Identify what was exposed, who was affected, and what must be reported - under regulatory timelines that don't wait for manual review.
After a breach, do you know what content was affected? Or only that files were encrypted or copied?
Identify Sensitive Data: Breach response is understanding exposure quickly enough for accurate notifications on time.
Real World Results: Large-scale breach response analyzed 440 million documents. Required 500 consultants, 20 tools, three cloud platforms. Extended 60-day window to 12 months. Cost $60M. Octosight is designed to materially simplify this.
What Octosight Solves: Speed and accuracy matter. Standing up infrastructure or manually sampling files wastes time. Octosight rapidly surfaces files containing sensitive information. When ransomware encrypts, Octosight provides immediate visibility into previously indexed content.
How Breach Response Changes
- From infrastructure to analysis.
- From uncertainty to visibility.
- From waiting to deciding.
Use Cases
- Ransomware readiness
- Data breach response and regulatory reporting
Healthcare
Medical Data Remediation and HIPAA Compliance
Locate protected health information across systems and take targeted action to remediate, rather than broad deletion that disrupts clinical workflows.
Patient data extends far beyond the electronic health record. Can every copy be found, preserved in the EHR, or deleted?
Clean Up Distributed Medical Data: Patient data rarely lives in just one place.
Real World Use Case: Multi-location outpatient healthcare system. Clinicians used shared workstations and laptops. Clinical notes, diagnostic images, and patient communications accumulated outside the EHR.
What Octosight Solves: Medical data remediation requires turning policy into consistent action across every identified copy. Centrally defined criteria surface the right files, users review and apply remediation tags. Data separation, preservation, and permanent deletion to DoD standards.
How Data Remediation Changes
- From volume to focus.
- From focus to judgment.
- From judgment to action.
Use Cases
- HIPAA and EHR medical data remediation
- Antitrust and competition compliance reviews
Remediate
Healthcare
Medical Data Remediation and HIPAA Compliance
Patient data extends far beyond the electronic health record. Can every copy be found, preserved in the EHR, or deleted?
Clean Up Distributed Medical Data
Patient data rarely lives in just one place.
Real World Use Case
Multi-location outpatient healthcare system. Clinicians used shared workstations and laptops. Clinical notes, diagnostic images, and patient communications accumulated outside the EHR.
What Octosight Solves
Medical data remediation requires turning policy into consistent action across every identified copy. Centrally defined criteria surface the right files, users review and apply remediation tags. Data separation, preservation, and permanent deletion to DoD standards.
How Data Remediation Changes
- From volume to focus.
- From focus to judgment.
- From judgment to action.
Use Cases
- HIPAA and EHR medical data remediation
- Antitrust and competition compliance reviews
Available for Everyday Use
No event required.
Between transactions and incidents, enterprise teams still need to find what matters and act on it. Thermal delivers forensic-grade search through natural language conversation.
- Find every contract with a partner
- Identify discrepancies across policies
- Extract key terms into summaries
- Generate reports from curated files