Turn market noise into proprietary signal
Every fund subscribes to the same data providers, uses the same CRM, and sees the same deal flow. The firms that win consistently are the ones that turn commodity data into competitive advantage — through better infrastructure, smarter automation, and intelligence that surfaces what others miss. That's what we build.
The information arms race is over. Data won.
Everyone sees the same signal
Five years ago, Specter was an edge. Today every fund uses Specter, Harmonic, or both. Identical tools with default configurations produce identical visibility — and zero information advantage.
Data lives in five tabs
CRM, enrichment tools, data providers, email threads, spreadsheets. Getting a full picture of a single company means context-switching across a dozen windows. Every time.
The solo engineer is drowning
Most data-forward funds hired one engineer to 'handle data.' That engineer is now 80% maintenance and 20% everything else. The roadmap is stuck.
Analysts prep data, not decisions
Monday is formatting data for Wednesday's meeting. The work that should consume junior talent — pattern recognition, outreach, relationships — gets displaced by copy-paste.
Speed Edge
You see the right signals before competitors do. The system alerts you the moment a target changes status. You make the first call — not because you worked harder, but because your infrastructure is faster.
Information Edge
You surface founders and companies that don't appear on standard tools at all. NLP models. Behavioral signals. Thesis-specific scoring. Anti-consensus opportunities, found systematically.
A data capability that compounds
Every deal added, every pass recorded, every founder tracked makes the models smarter. Institutional memory that grows with the firm — not a leaky bucket that resets when an analyst leaves.
Analysts doing analyst work
Less time on data assembly. More time on relationships, diligence, and decisions. The work the team was hired to do.
Everyone sees the same signal
Five years ago, Specter was an edge. Today every fund uses Specter, Harmonic, or both. Identical tools with default configurations produce identical visibility — and zero information advantage.
Data lives in five tabs
CRM, enrichment tools, data providers, email threads, spreadsheets. Getting a full picture of a single company means context-switching across a dozen windows. Every time.
The solo engineer is drowning
Most data-forward funds hired one engineer to 'handle data.' That engineer is now 80% maintenance and 20% everything else. The roadmap is stuck.
Analysts prep data, not decisions
Monday is formatting data for Wednesday's meeting. The work that should consume junior talent — pattern recognition, outreach, relationships — gets displaced by copy-paste.
Proprietary scoring on top of commodity data
We encode your investment thesis into ML models and automated workflows that surface what standard tools miss — and run 24/7 against your unified data.
One unified source of truth
A managed data platform on your cloud: all sources — CRM, providers, enrichment, internal data — ingested, cleaned, and unified. One view. Hourly refresh.
An embedded team that builds and operates
Forward-deployed engineers who work as part of your team: building systems, deploying agents, handling the infrastructure that has no business consuming your internal analyst's time.
Automated workflows for high-volume work
Lead triage, enrichment, outreach sequencing, reporting — deployed as AI agents that run continuously on your data, freeing the team for the work that actually requires judgment.
Speed Edge
You see the right signals before competitors do. The system alerts you the moment a target changes status. You make the first call — not because you worked harder, but because your infrastructure is faster.
Information Edge
You surface founders and companies that don't appear on standard tools at all. NLP models. Behavioral signals. Thesis-specific scoring. Anti-consensus opportunities, found systematically.
A data capability that compounds
Every deal added, every pass recorded, every founder tracked makes the models smarter. Institutional memory that grows with the firm — not a leaky bucket that resets when an analyst leaves.
Analysts doing analyst work
Less time on data assembly. More time on relationships, diligence, and decisions. The work the team was hired to do.
We help at every stage of the deal.
From the moment a company enters your radar to the day you report returns to LPs — we build the data infrastructure and intelligence that makes each stage faster, sharper, and more systematic.
Sourcing
“See the market before everyone else.”
Systematic, automated deal sourcing that covers more ground than any human team — running continuously, tuned to your thesis.
- checkUnified data platform connecting all your external data sources and enrichment tools into a single, queryable foundation
- checkAutomated lead acquisition that monitors multiple sources continuously and surfaces new companies matching your criteria
- checkAI agents that enrich, score, and rank new opportunities daily — delivering a prioritized feed to Slack or your CRM
- checkCustom signal detection beyond off-the-shelf alerts: hiring velocity, product launches, funding patterns, founder background matching
- checkMarket mapping at scale — systematically covering sectors and geographies you can't reach through network alone
Screening
“Separate signal from noise, systematically.”
Scoring models and automated analysis that help your team focus on the 5% that matters — not the 95% that doesn't.
- checkML-powered deal scoring trained on your portfolio history and investment thesis — not generic 'hot company' rankings
- checkAutomated company profiling that pulls, structures, and summarizes data from multiple sources in seconds
- checkFounder and team analysis using enrichment data, professional history, and pattern matching against successful outcomes
- checkPeer benchmarking that positions each opportunity against comparable companies on metrics your team actually cares about
- checkIntelligent triage that routes high-priority opportunities to the right partner, automatically
Due Diligence
“Deeper analysis, faster.”
AI-assisted diligence that turns weeks of manual research into hours of structured, verified insight.
- checkLLM-powered document analysis that ingests pitch decks, financial statements, and data rooms — extracting key metrics and flagging inconsistencies
- checkAutomated competitive landscape mapping using real-time market data and enrichment sources
- checkTechnical due diligence support: architecture assessment, infrastructure evaluation, and technology risk scoring
- checkHistorical data analysis — tracking how a company's metrics have evolved over time, not just where they stand today
- checkStructured diligence output that feeds directly into your investment memo workflow
Portfolio Management
“Monitor everything. Miss nothing.”
Automated portfolio monitoring, benchmarking, and reporting — so review cycles start with insight, not data collection.
- checkAutomated ingestion and analysis of quarterly board reports, financial statements, and KPI updates across all portfolio companies
- checkPerformance benchmarking against peers — identifying top and bottom performers, flagging trends before they become problems
- checkFinancial forecasting and scenario modeling for fund performance (base case, upside, downside)
- checkAI agents that monitor portfolio company signals continuously — hiring, product releases, press, competitive moves — and surface what matters
- checkSingle source of truth for portfolio data used across the firm: partners, associates, finance, IR
Admin & Operations
“Automate the work nobody should be doing manually.”
LP reporting, CRM hygiene, pipeline tracking, and operational workflows — systematized and running on autopilot.
- checkAutomated LP report generation pulling from unified portfolio data — consistent, accurate, ready for review instead of assembly
- checkCRM enrichment and hygiene running continuously — deduplication, data validation, automatic updates from external sources
- checkPipeline analytics and reporting that refresh in real time, not once a week via spreadsheet
- checkWorkflow automation connecting your CRM, communication tools, data providers, and internal systems — eliminating manual handoffs
- checkOperational dashboards giving the team a live view of deal flow, pipeline health, and portfolio status
Four layers. One partner.
Whether you're starting from scratch or scaling what you've already built, we meet you where you are — and build toward where the most data-driven funds operate.
Vecten Compass
Transformation Workshop
Map your fund's current data landscape, identify the highest-impact opportunities, and produce a prioritized AI transformation roadmap — before committing to a build.
- Rapid, fixed-fee engagement covering your full data lifecycle: Sourcing, Screening, Due Diligence, Portfolio, Admin & Ops
- Audit of existing tools, data flows, team structure, and processes across the fund
- Prioritized roadmap with architecture recommendations, effort estimates, and ROI projections
- Output designed to inform a build decision — or to hand directly to a team for execution
Vecten Core
AI-Native Data Platform
A unified data foundation deployed in your cloud, connecting all your data sources into a single, AI-ready platform — managed on subscription.
- Pre-built integrations for VC-specific data sources: CRM (Affinity, Salesforce, Attio), data providers (Crunchbase, Harmonic, PitchBook, Specter), enrichment (PDL, Revelio, Clay)
- Automated ingestion, cleaning, deduplication, and transformation — live in weeks
- AI-ready architecture: structured for scoring models, LLM workflows, agents, and self-serve analytics from day one
- Your data, your cloud. We operate the engine. You own the infrastructure.
Vecten Edge
Intelligence Layer
Scoring models, LLM workflows, AI agents, and custom integrations — designed on your data, embedded in your tools, running in production.
- Deal scoring models trained on your portfolio and thesis, integrated directly into your CRM
- LLM-powered automation for document analysis, report parsing, and data enrichment
- Purpose-built AI agents for deal sourcing, portfolio monitoring, and relationship management
- Integration engineering connecting your data platform to Slack, Notion, dashboards, and internal tools
Vecten Drive
Continuous Operations
Forward-deployed engineers and AI agents on monthly subscription — building, monitoring, extending, and improving your systems continuously.
- Senior engineers embedded in your workflows, proactive, domain-fluent in how VC firms operate
- AI agents running 24/7: sourcing, enriching, scoring, monitoring, reporting — continuously compounding
- One subscription covering engineers and AI costs. Predictable. No surprise invoices.
- Operational capability that grows every month without growing your headcount
“We've spent years inside the data systems of leading VC firms — building the platforms they use to source deals, score companies, and manage portfolios. We understand the workflows, the tools, the competitive dynamics, and the constraints. And because we operate at the frontier of data engineering and AI, we know which new capabilities are ready for production and which are still hype. That combination — cutting-edge technology and deep domain knowledge — is what separates a genuine data partner from a vendor who builds what you describe and hopes it works.”
Built for funds that take data seriously.
Our VC client work spans deal sourcing automation, ML-powered scoring, portfolio management platforms, and data infrastructure optimization — all with the same mission: turning fragmented data into competitive edge.
Your competitors are building. The question is whether you are
Whether you're starting your data-driven journey or scaling intelligence on top of what you've already built, we've done this before — at firms managing billions in assets. The first conversation is free. The roadmap that follows it is worth having.