Human-First AI Design Princples for
Modern Investment Analyst Teams

Combining expertise in AI, product development, and finance to build the intelligence infrastructure  private capital deserves. Auditable, sovereign, and engineered for human judgment.

OUR VISION

Freeing Analyst Teams from
Programmable Machine Work

Private capital analysts spend 80% of their time on data extraction and formatting, or the exact work machines should handle. Clarenza exists to eliminate this data orchestration gap, so that teams can focus entirely on the decisions that create returns.

OUR MISSION

The institutional standard for High-conviction Deal Velocity

We're building a world where every conviction fund in Europe operates with the analytical depth of a tier-one firm and the speed of a technology company. Where diligence is fast but never shallow. Where every claim is traceable and every metric is trustworthy.

Industry PAIN POINTS

The Data Behind the Problem

Analysts lose valuable time with manual work, limited specialized tools and poor data quality while early adopters of genAI insight automations are already realizing exponential returns.


Analysts Spend a Third of their Time Reconciling Data Manually

Analyst teams devote about 33% of their time to repetitive manual work by reconciling data, and formatting reports.

Up to 90% of enterprise information remains unstructured across industries, buried in documents and emails. These manual workflows drive high error rates: spreadsheet entry alone can cause up to 27% reporting errors, undermining accuracy and slowing analysis across the board.


Poor Data Quality Undermines Confidence and Slows Decisions

64% of firms name data quality as their biggest challenge, and 77% say they lack confidence in their own data.

Nearly half report inadequate tools for managing or automating data integrity.In private markets, 92% of limited partners say poor GP data quality harms investment decisions, while 31% still receive reports by email or PDF, delaying accurate consolidation and review.


Automation Significantly
Improves Speed and Accuracy

Firms adopting intelligent document processing and automated insight extraction, report order-of-magnitude efficiency gains.

Processing times drop nearly tenfold, accuracy improves by more than 80%, and document errors fall below 5%. Automation enables teams to process the same workload with double the output with identical resources, redefining baseline productivity in document-heavy finance-related operations.

PwC 2024 Finance Effectiveness Benchmarking StudyMIT - Tapping the power of unstructured dataDATA Market Study 2021–20235 Key Benefits of Putting AI to WorkFund-of-funds managers grappling with inconsistent data quality from GPs
TRUST ARCHITECTURE

What we build by

Deeply embedded desing principles to augment investment research and analysis

Human-in-the-Loop, Always

Clarenza amplifies analyst capability and never replaces human judgment on investment decisions. Every output is editable, and every correction compounds into permanent institutional learning.

Deterministic Reasoning

Financial figures are computed, not generated. Neuro-symbolic logic ensures formulas run deterministically, discrepancies are reconciled, and units are normalised. LLM guesswork has no place in underwriting.

Glass-Box Intel Computation

Every output is fully explainable. Every metric links to its source document with on-page attribution. Every calculation shows its formula. There are no black boxes in Clarenza.

EU Data Sovereignty

All infrastructure, all processing, all storage is EU-hosted. Local LLM options and on-premise deployment available. Architected for GDPR, DORA, and EU AI Act compliance from day one.

Privacy by Design

Data sovereignty is not a feature toggle. Tenant data stays within EU borders, is never used for training, and is purged on request. Zero-data retention is the default, not an upgrade.

Responsible & Explainable AI

Full audit telemetry across every agent action. Confidence scoring on every extraction. Immutable logs for compliance review. Open observability, not opaque automation.

CAREERS

Join Us

Open positions across engineering, commercial and product. Help shape the future of agentic due diligence for private capital.

BETA PROGRAM 2026

Join the Open Beta Program

Get early access to Clarenza, co-design investment workflow and gain unrestricted access to the platform.

Free 1h AI Workflow
& Data Consultation

We document your team's deal workflow end-to-end and pre-configure Clarenza to match your investment thesis and preferences.

Full Unrestricted Platform Access

Autonomous, unsupervised access to Clarenza.ai throughout the entire 5-week pilot program.

White-Glove Onboarding & Support

Personal thesis configuration, custom templates, and 1h weekly founder-led feedback support sessions.

Direct Influence on Product Roadmap

Your workflow requirements and feedback directly shape what gets built next.

First-in-line
Feature Access 

Founding Partners get pre-release access to new Clarenza features before public launch.

Founding Partner Discount Pricing  

Sign an annual subscription and receive extra free months. Lock in pricing before commercial launch.

Early Access Now Open

A hands-on program for selected European investment teams across VC, PE, Growth Equity, Buyout, CVCs, and Family Offices.

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FOUNDING TEAM

About Team Clarenza

Combining expertise in AI, product development, and finance to make complex investment analysis faster, simpler, and smarter.

Luca Vento
Daniel Baker
Linkedin Profile
Co-Founder & CEO

Deep-tech architect and 3x founder with a track record in distributed systems and AI infrastructure, leading teams behind Europe’s fastest-growing cloud ventures.
Luca Vento
Luca Vento
Linkedin Profile
Co-Founder & CPMO

Former Google, Blockchain, and AI product & marketing executive, bringing 15+ years of experience in scaling products at the intersection of product strategy, design and growth.