Expert-led AI based due diligence for private equity.
Neovision Partners helps investment funds screen earlier, decide faster and go deeper by combining proprietary AI analysis with senior expert judgment. Our best of breed platform reads complex deal evidence at scale, traces conclusions to source material, and turns technology, code, cyber, commercial and AI findings into IC-ready decisions.
One firm, two ways to work: use the SentientOS platform yourself, or put our experts on the deal.
A senior expert signs off on every finding, so you keep AI speed without losing source-checking, materiality or accountability.
Your deal team can use AI. That is not enough.
Access to AI is no longer the differentiator. In a live transaction, the real question is whether the answer can be verified, traced to evidence, challenged by a senior expert and defended at investment committee.
AI can produce a convincing narrative from incomplete or ambiguous material. Fluency can look like certainty.
A fund does not need a technical description. It needs to know whether a finding changes price, SPA protection, roadmap, post-close cost or the 100-day plan.
An investment committee cannot rely on an unattributed AI output. A senior expert still has to validate and sign off.
- ~3 weeks to a first read
- Senior review arrives at the end of the process
- Findings delivered as a 200-page appendix
- Full fee whether or not the deal proceeds
- Instant but unverified answers
- No senior accountability an IC can rely on
- Sources lost between prompts
- No sense of what moves price or the SPA
- 3–5 days to a full technology read
- A senior expert signs every material finding
- Full source trail your lawyers can verify
- Pay for the deal, not the pitch
The largest managers, including BlackRock, Blackstone and EQT, are building in-house AI capabilities for their deal work. Most funds cannot build that alone. Neovision brings it to you.
Use AI as a controlled diligence workflow, not as an oracle.
Neovision uses AI through a controlled diligence workflow, not as an oracle. The platform reads more evidence, structures the analysis, identifies gaps and keeps the source trail. Senior experts then challenge, correct and sign off before findings reach the deal team.
Move from weeks to days for a first technology read.
Review more evidence across documents, code, public data, interviews and Q&A.
Keep every material conclusion source-traceable, fact-checked and reviewed by a senior expert.
Start earlier with a focused screen, then go deeper only when the deal justifies it.
Every finding starts from traceable raw material.
Each finding is challenged and validated by a senior expert.
Findings are weighed against price, SPA, IC and the 100-day plan.
Each finding closes with what to do about it in the deal.
SentientOS: the controlled AI workflow behind Neovision diligence.
SentientOS is the proprietary platform used by Neovision experts to deliver faster, deeper and source-traceable due diligence for private equity funds.
The platform can also be opened directly to clients, allowing investment teams to launch AI-based screening, memo challenge and first-level diligence themselves. When a deal requires deeper confidence, Neovision experts can review, challenge, validate and sign off on the conclusions.
Use the platform yourself. Bring in our experts when it matters.
Direct access to SentientOS for your investment team.
- AI-based screening from a name and public data
- Investment memo challenge before IC
- First-level diligence structured by the platform
- Client memory that compounds with every use
Expert-led diligence delivered on the same platform.
- Full five-domain diligence on a live deal
- Senior experts challenge, correct and sign off
- IC-ready decision pack with a full source trail
- 3–5 days to a full technology read
Upload or connect the available evidence: data room, source code, public data, interviews, Q&A and investment memos.
Launch AI-based extraction, comparison, red-flag detection and memo challenge faster than a traditional manual process.
Translate findings into investment materiality: risk, IC relevance, price impact, SPA implications and 100-day priorities.
Funds can use the platform directly to screen opportunities, challenge assumptions and structure first-level diligence.
Neovision experts review, challenge, correct and sign off when the deal requires deeper confidence or IC-ready conclusions.
Go / no-go signal, ranked risks, management questions, SPA implications and 100-day priorities.
Client memory: every use makes the platform more relevant.
SentientOS builds a client-specific memory over time. The more a fund uses the platform, the more it learns how that fund works: preferred memo format, risk language, IC expectations, recurring diligence questions, sector focus, level of detail and decision logic.
This memory operates at both fund level and individual user level, so the platform can deliver answers that are more contextual, more relevant and better aligned with the way each client thinks and works.
Crucially, this memory is not locked inside one AI model. SentientOS keeps the client's templates, workflow, evidence trail, diligence logic and preferences even if the core AI model changes. This allows Neovision to move to the best available AI model, or switch models if access is restricted, without losing the client's accumulated know-how.
One expert-led platform, five diligence domains.
Every engagement draws on the same evidence base and control model, across the five domains that decide whether a technology company is worth its price.
Architecture, infrastructure, scalability, team and methodology, assessed across an eight-dimension maturity framework.
02Full-codebase scanning for maintainability, scalability risks, dependencies and open-source licensing exposure.
03Penetration testing and vulnerability assessment that simulates how a real attacker would approach the target.
04Sales organisation, pipeline and customer economics, measured against nine KPIs with our Top Line methodology.
05Whether the target's AI is real, defensible and correctly governed, from individual usage to strategic integration.
AI-assisted reading of the full data room, so nothing material stays buried in an appendix.
We are never locked to a single AI model or provider. Your diligence does not depend on one vendor's roadmap, pricing or availability.
One platform, three engagement types.
The same evidence base and control model serve sellers, buyers and corporate development teams.
For buyers and investors: understand what the technology is really worth, what it will cost to fix, and how that affects price and protections.
Learn moreA data-driven technology examination for sellers preparing a transaction: surface issues early, defend valuation, keep the process moving.
Learn moreFor corporates acquiring or integrating technology: synergies, risks, integration cost and a clear read on the technology asset.
Learn moreDecision-ready evidence, not a 200-page PDF.
Every engagement returns investor-grade conclusions mapped to the question the deal turns on, written for the investment committee and traced to source material.
A direct view of whether the technology supports the investment thesis.
Issues prioritized by materiality, not by technical complexity.
Specific questions to ask before signing.
Findings translated into price protection, closing conditions or contractual protections where relevant.
Post-close actions to reduce risk and protect the investment plan.
| Domain | Signal | Investment implication |
|---|---|---|
| Technology environment | Strong | Supports the growth plan; no price impact. |
| Code audit | Watch | Refactoring budget to reflect in the price. |
| Cybersecurity | Deal issue | SPA protection plus a 100-day remediation plan. |
Our report tells you how each finding affects the deal: continue, walk away, price the risk, ask for protection, order deeper work, or plan post-close remediation.
A model that shares your deal risk.
Five steps from first call to signed findings, with senior-expert validation built in before anything reaches your investment committee.
We agree the perimeter, the questions that matter and the deal calendar.
Data room, repositories, systems and interviews are mapped into one evidence base.
Our workflow reads, cross-checks and drafts across the five domains.
Experienced operators challenge and sign off on every material finding.
IC-ready conclusions, source trail and per-finding deal implications.
Same depth of verification. You pay for a 3 to 5 day senior engagement, not a three week one: the speed comes from AI-assisted evidence intake, not from skipping checks.
Start small, scale with the deal
You do not have to start with a full diligence. Each tier builds on the previous one, and the work is never thrown away.
From a name and a teaser: a review of public data, a market scan and a summary of the gaps before you commit resources.
A low-cost critical review of your memo: what the thesis assumes, what the evidence supports, where the gaps are.
The complete five-domain diligence. When the deal proceeds, the target can carry it forward as vendor due diligence.
If the deal does not go ahead, the early tiers cost close to nothing. When it does proceed, the full diligence can be carried by the target as vendor due diligence.
Trusted on live deals since 2023.
Trusted on live technology diligence assignments for investment funds. Selected mandates since 2023:
Technology diligence on the Meridiam-led 27 million euro investment in iwell, a Dutch provider of smart battery storage and energy management systems.
Infrastructure software Meridiam · OxandTechnology diligence on Meridiam's majority investment in Oxand, European software for predictive maintenance of buildings and infrastructure.
SMS digital marketing UI Investissement · WellpackDiligence on the French leader in SMS acquisition campaigns.
Technology business solutions Crédit Mutuel Equity · DFMTechnology read supporting Crédit Mutuel Equity's investment in DFM.
Event management technology Naxicap · WeezeventDiligence as Weezevent came under the control of Naxicap.
Technology due diligence for Neovian ahead of MZ Technologie's exclusive partnership with IN Groupe.
Built by people who have worked on the investor's side.
Operators and technology executives, backed by a network of institutional-investor specialists engaged per deal, delivering diligence the way an investment committee needs to read it.
Objective, data-centric audits anchored in raw data and rigorously validated. AI does the reading at scale; a senior expert signs every conclusion.
Part of our team has experience as investors. We know how to present and explain technology risks and value to private equity groups effectively.
We maximise investment value and minimise risk, with the highest level of commitment and attention to detail. Never locked to a single AI model or provider.
Frequently asked questions
It is technology due diligence in which AI performs large-scale reading and cross-checking of the data room, code and public material, while senior experts verify sources, weigh materiality and sign off on every finding. The result is the depth of a traditional audit at a fraction of the elapsed time.
A full technology read typically takes 3 to 5 days, compared with around 3 weeks for a traditional process. Speed comes from AI-assisted evidence intake, not from skipping verification.
Five domains: technology environment analysis, code audit, cybersecurity audit, commercial execution audit and AI strategy assessment, plus AI-assisted data room intelligence across all of them.
No. Neovision Partners is model-agnostic by design. We are never locked to a single model or provider, and we select the strongest available AI for each task in the workflow.
A senior expert with operating or investment experience challenges and signs off on every material finding. AI output is never delivered unverified.
You can start with a low-cost public intelligence screen or an investment memo challenge. If the deal proceeds to full diligence, the target can carry the work as vendor due diligence, so early exploration costs the fund close to nothing.