of corporate and PE leaders already use GenAI in dealmaking
of investors would increase allocations to firms pursuing enterprise-wide AI
of PE funds expect AI to transform their business
Why work with us
AI and Data Experts on board
Finished projects
We are part of a group of over 200 digital experts
Different industries we work with
Recognitions & awards
What our clients say
Addepto has an individual approach from the very beginning. They are open to change and ready to face difficulties.
Bobby Newman VP Engineering – J2 Global
They didn't just "do requirements", they investigated our needs and advised on the best processes to achieve our objectives. They were mindful of costs and gave suggestions that would be great long term solutions. But most of all, they felt like a part of our team!
CEO of SimpleCater
The communication process was smooth, which assured us that Addepto was devoted to preparing a high-quality product.
Director of Machine Learning – Wealth Management Company – Wealth Management Company
Clients that trusted us
AI in private investment has moved past the question of adoption. The real challenge now is protecting returns when deal velocity, data volume, and LP expectations are all accelerating at once.
We partner with PE, VC, and Private Credit teams who need AI built around their business — not another dashboard subscription that generalize their edge.
Our systems are engineered around your investment thesis, proprietary deal history, and portfolio data.
Below are four areas where our clients see the fastest, most measurable payback.
AI-Powered Deal Sourcing
Automated Due Diligence & IC Memos
Portfolio Monitoring & Value Creation
LP Reporting & Investor Relations
How AI Supports the Private Investment Sector
Faster, cleaner due diligence
Compress weeks of document review into days. AI-grounded Due Diligence (DD) consolidates Virtual Data Rooms (VDRs), and expert transcripts into a single queryable workspace, surfacing risks earlier and freeing analysts for judgment calls
A sharper, more proactive sourcing edge
Continuous screening across millions of private companies with thesis-matched scoring means your team sees the right deal first — and spends fewer hours on leads that were never a fit.
Portfolio value creation you can measure
From pricing analytics to supply-chain optimisation to AI-enabled product features, Addepto builds AI inside portfolio companies — turning “AI readiness” into EBITDA uplift and multiple expansion at exit.
LP-grade AI governance and transparency
Every AI output is traceable and auditable, built on a data layer you control—not a vendor’s black box. That’s what separates merely checking a compliance box from being able to confidently stand behind your AI infrastructure when a sophisticated institutional investor takes a close look.
Challenges in Private Investment
and how AI actually solves them
How many high-fit opportunities never made it past your inbox?
Challenge: Deal teams see thousands of opportunities a year; the best ones get lost in inbox triage and outdated CRM fields.
Solution: An AI sourcing layer scores every inbound and outbound target against your written thesis, past wins and past losses, so prioritisation happens automatically.
What would one week earlier on a red flag be worth to your deal team?
Challenge: Manual review of data rooms, financial models and expert calls creates bottlenecks — and more than one deal has slipped because a risk surfaced in week four that should have surfaced in week one.
Solution: AI cross-reads the entire diligence corpus in minutes, flags anomalies, generates first-draft Investment Committee (IC) memos, and accelerates research cycles.
How confident are you in what's underneath your AI outputs?
Challange: Fund managers don’t trust the data going in, or the outputs coming out. And they’re right to be cautious with sensitive deal and portfolio information.
Solution: Data foundation — clean, secure, and fully traceable — so that every AI output can be verified and defended. Most AI projects fail not because the models are bad, but because the data underneath them is messy or siloed.
What happens when your AI story gets tested in a due diligence meeting?
Challenge: Institutional investors are no longer asking whether their fund managers use AI — they’re asking how, where, and with what controls.
Solution: Addepto delivers working AI systems across deal sourcing, investment evaluation, and portfolio management — with the governance, audit trails, and reporting investors expect.
Are your portcos building AI leverage — or watching others do it?
Challenge: AI readiness has become both a diligence criterion and a value-creation lever — yet most portfolio companies still run on fragile, ungoverned data infrastructure.
Solution: We embed AI engineers directly inside portfolio companies to build production-grade use cases — pricing optimization, demand forecasting, customer operations, internal copilots — each engineered to translate into measurable margin improvement and a stronger exit multiple.
How many high-fit opportunities never made it past your inbox?
Challenge: Deal teams see thousands of opportunities a year; the best ones get lost in inbox triage and outdated CRM fields.
Solution: An AI sourcing layer scores every inbound and outbound target against your written thesis, past wins and past losses, so prioritisation happens automatically.
What would one week earlier on a red flag be worth to your deal team?
Challenge: Manual review of data rooms, financial models and expert calls creates bottlenecks — and more than one deal has slipped because a risk surfaced in week four that should have surfaced in week one.
Solution: AI cross-reads the entire diligence corpus in minutes, flags anomalies, generates first-draft Investment Committee (IC) memos, and accelerates research cycles.
How confident are you in what's underneath your AI outputs?
Challange: Fund managers don’t trust the data going in, or the outputs coming out. And they’re right to be cautious with sensitive deal and portfolio information.
Solution: Data foundation — clean, secure, and fully traceable — so that every AI output can be verified and defended. Most AI projects fail not because the models are bad, but because the data underneath them is messy or siloed.
What happens when your AI story gets tested in a due diligence meeting?
Challenge: Institutional investors are no longer asking whether their fund managers use AI — they’re asking how, where, and with what controls.
Solution: Addepto delivers working AI systems across deal sourcing, investment evaluation, and portfolio management — with the governance, audit trails, and reporting investors expect.
Are your portcos building AI leverage — or watching others do it?
Challenge: AI readiness has become both a diligence criterion and a value-creation lever — yet most portfolio companies still run on fragile, ungoverned data infrastructure.
Solution: We embed AI engineers directly inside portfolio companies to build production-grade use cases — pricing optimization, demand forecasting, customer operations, internal copilots — each engineered to translate into measurable margin improvement and a stronger exit multiple.
AI Solutions for Private Investment
Are you seeing the right deals — or just the ones bankers send you?
A custom sourcing engine that unifies your CRM, rejected-deal archive, and external data (firmographics, hiring signals, web footprint, news) into one thesis-matched scoring layer. Off-market, thesis-fit targets surface proactively — instead of waiting for a banker’s email.
What if your analysts could get answers from a data room in seconds?
A secure AI workspace grounded in your data room. It reads CIMs, contracts, financials and expert-call transcripts, answers analyst questions with citations to source documents, drafts diligence reports, and flags risks earlier in the process.
How much of your team's time goes into documents rather than deals?
Generative AI agents transform structured diligence outputs into first-draft IC memos, management presentations, and term-sheet comparisons — using your firm’s templates, tone, and prior-deal logic so output is IC-ready, not ChatGPT-generic.
By the time you spot a problem in a portfolio company, is it already too late?
Real-time KPI aggregation across portfolio companies, predictive analytics on unit economics, and AI copilots embedded inside portcos. Identify underperformance earlier and turn AI deployments into measurable EBITDA uplift before exit.
How much of your IR work could practically write itself?
AI-generated LP updates, capital-call narratives, and quarterly letters built directly from your portfolio data — with full traceability. Plus relationship intelligence across your network to surface warm introductions to co-investors, advisors, and operators.
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What our clients say
The collaborative culture during the project was unique and significantly facilitated seamless implementation. Addepto has completely satisfied our requirements.
Dawid Majcherek – Nexteer Advanced Technology Engineer – Nexteer Automotive
Addepto’s flexible team reacts to tasks rapidly.
Head of IT – SMEO S.A.
They weren't just another tech vendor; they got to the heart of what we needed. From day one, they wanted to figure out our main issues, not just throw tech at us for the sake of it. They really dug into our tech setup and how we work, then came up with simple, smart solutions that make our lives easier without adding unnecessary complexity.
Michelle D. – Sr. Director of Data and Machine Learning Sr. Director of Data and Machine Learning
We are recognized as one of the best AI, BI, and Big Data consultants
We helped multiple companies achieve their goals, but - instead of making hollow marketing claims here - we encourage you to check our Clutch scoring.
FAQ
Is custom AI worth it versus buying a SaaS
SaaS platforms are a fast start, but they plateau quickly: your data sits on someone else’s stack, models aren’t tuned to your thesis, and your competitive edge is whatever edge every other subscriber also has. Addepto builds AI you own — tuned to your deal history, your sector theses, your risk patterns — so the moat compounds with every deal you do.
What about data privacy, IP leakage and LP due-diligence concerns?
Privacy and data quality are the top two barriers GPs report, and we take both seriously. Every Addepto deployment runs in your tenant (Databricks, Snowflake, Azure, AWS), with private-model hosting or strict API governance, full audit trails, and PII/entity-level access controls — designed to pass LP ODD and regulator scrutiny.
Do we need to rebuild our data estate before we can use AI?
No — but we do start with a data-readiness audit. In most cases, we can deliver a first AI use case (DD copilot or sourcing scoring) within weeks on your existing data, and run a parallel, staged uplift of your data platform so later use cases compound.
How is Addepto different from BCG, McKinsey or EY?
Addepto is an AI and data-engineering partner — we design, build, deploy, and operate the AI inside your firm and your portfolio companies, typically at a fraction of the cost and twice the speed of a top-tier consulting engagement.
