Vecten Core

One place for all your data Built for AI from day one

An AI-native data platform deployed in your cloud, operated by us. Vecten Core is your organization's data backbone — every system you run, connected into a single source of truth, so every AI application, model, and dashboard has clean data underneath it. Setup in weeks. Managed on subscription.

Vecten Core
Current state
01
Dozens of disconnected systems
02
Manual compilation for reports
03
Inconsistent & duplicated records
04
AI built on fragmented data
05
Valuable data locked in legacy systems
Fragmented data → Unusable foundation
THE PROBLEM

You already have the data. You just can't use it

Your organization runs on dozens of systems — databases, SaaS platforms, spreadsheets, internal tools, email, and legacy software. Each holds a piece of the picture. None of them talk to each other.

When someone asks a straightforward question, the answer takes hours of manual compilation across multiple systems. Data quality is inconsistent. Records are duplicated. Fields are stale. And some of the most valuable data is simply inaccessible — buried in legacy systems with no connectors, no APIs, and no exports.

AI built on fragmented, inconsistent data doesn't produce insight — it produces confident noise. The data foundation has to come first. This is the problem Vecten Core solves — including access itself: where data sits locked in legacy systems, we regain it through custom connectors, database-level extraction, or file-based feeds.

COMPETITIVE EDGE THROUGH DATA

What Vecten Core actually is

Single Source of Truth

Every relevant data source — internal and external — flows into one unified, enterprise-grade platform. Automated ingestion, cleaning, deduplication, and transformation. When someone queries the platform, the answer is current, consistent, and complete.

AI-Ready Foundations

Data isn't just stored — it's structured and accessible for ML models, LLM workflows, agent systems, and business intelligence. The platform is designed from day one to feed intelligent applications, not just dashboards.

Connectors for Everything

A growing library of pre-built connectors gets common sources flowing from week one — and anything not in the library, we build: local, niche, and legacy systems, ERPs included. Unopinionated and sector-agnostic by design.

Cloud Infrastructure

The platform is deployed directly into your cloud — Snowflake and AWS, running in your own accounts. You maintain complete control over where your data lives and how it's handled, ensuring maximum security and compliance.

Full Asset Ownership

You own the data and the cloud infrastructure, and you hold a perpetual license to every connector and pipeline in your deployment. We own and operate the engine. If the subscription ends, everything keeps running. No lock-in. No hostage data.

Managed Operations

Monitoring, reliability, data quality, and integration health are handled by our team on an ongoing basis. The platform improves over time as new sources are connected and organizational needs evolve.

No rip-and-replace

Core doesn't ask you to change your systems — it builds on top of what you already run. No migrations, no tool replacement, no retraining. Less risk, faster time to value.
THE ACCESS LAYER

AI access included from day one

Chat with your data

MCP with a semantic layer connects Claude, ChatGPT, and agent systems to your governed data. Questions answered in seconds, from numbers that are actually right.

Slack / Teams delivery

Answers and alerts arrive where your team already works.

Dashboards, pre-configured

Management, finance, and operations views built to your needs, all pulling from the same foundation.

And when you're ready for more — applications, advanced analytics, ML models, LLM workflows and agents — everything built on top inherits the same governed foundation.

USE CASES

One foundation, many applications

01

Ask your data

AI access to governed numbers; cross-system questions answered in seconds.

02

AI transformation

Workflow automation, agents, and ML layered on the foundation.

03

Portfolio monitoring & BI

Live dashboards across the firm and its companies.

04

Reporting & consolidation

Automated, consistent, every figure traceable to source.

05

Automated data enrichment

External providers continuously enriching records; no copy-paste.

06

Deal sourcing & origination

Scoring models and LLM agents fed with clean, connected data.

07

Compliance & audit readiness

Full lineage, role-based access, audit trails.

PERSONAS

Who it serves

Management / CEO

One version of the truth, live numbers, a credible foundation for the AI agenda.

CFO

Automated consolidation, faster close, every figure traceable to source, predictable cost.

Deal teams & portfolio leads

Comparable KPIs across portfolio companies; new acquisitions onboarded in weeks.

Operating partners

Value creation tracked against plan; underperformance visible early, from data.
BEFORE / AFTER

The difference is operational,
not theoretical

Data access
Before
Scattered across 5–15 disconnected tools. Getting a full picture requires hours of manual work.
After
One unified platform. Query anything, from any source, in seconds.
Data quality
Before
Duplicates, stale records, inconsistent formats. No one trusts the numbers without double-checking.
After
Automated cleaning, deduplication, and validation. One version of the truth.
Reporting
Before
Manual compilation every cycle. Spreadsheets emailed around. Different teams cite different numbers.
After
Automated, consistent, always current. Dashboards and reports pull from the same foundation.
AI readiness
Before
Want to deploy AI, but data isn't in a usable state. Models produce unreliable output or can't be built at all.
After
Data structured and accessible for ML models, LLM workflows, and AI agents from day one.
Time to value
Before
Building a data platform from scratch takes 6–12 months and a dedicated engineering team.
After
Live in weeks. Pre-built architecture, default integrations, managed operations.
Ownership
Before
Vendor lock-in. Data trapped in proprietary formats. Switching costs make you stay.
After
You own the data and infrastructure, plus a perpetual license to the connectors and pipelines. We operate the engine. When the subscription ends, everything keeps running.
ENGAGEMENT MODEL

Setup once. Subscribe to run

Phase 1: Discovery

We inventory your data sources, verify access and extraction feasibility — including legacy systems with no obvious way in — and confirm the scope. Nothing is assumed: the setup clock starts once access is proven working.

Pricing:Short, fixed scope — the gate that de-risks everything after

Phase 2: Setup

We deploy the Vecten Core platform into your cloud environment, connect your data sources, build the transformation layer, stand up dashboards and MCP access, and validate data quality end to end. Live in weeks, not quarters.

Pricing:One-time setup fee, scoped to your data landscape

Phase 3: Operate

Monthly subscription. We manage the platform — monitoring, reliability, data quality, integration health, and continuous improvement. New sources can be connected as your needs grow.

Pricing:Predictable cost, managed on subscription

Vecten Core costs a fraction of what a single data engineer costs — and it delivers a production-grade platform, not a work-in-progress. For organizations that would otherwise spend 6–12 months building from scratch, the time savings alone justify the investment.

WHAT HAPPENS NEXT

Core is the foundation. Everything else builds on top.

Once your data is unified, clean, and AI-ready, the real leverage begins. Each layer compounds on the one below. Core is where the compounding starts.

Vecten Edge

Proprietary intelligence — ML models and AI agents in production.

Vecten Drive

Continuous operations — engineers and agents on subscription.