Pre-Seed

Validation-First B2B Contact Intelligence

Most contact data decays because collection and confirmation are misaligned.
UConneKT is building the validation layer for professional contact intelligence.

Core Problem

B2B Contact Data Lacks Accuracy by Design

Most contact intelligence platforms struggle with low accuracy because their models prioritize collecting large volumes of data — not keeping it validated over time.

This creates systemic inefficiency across revenue teams.

Contact Records

Pending Re-Validation

  • Marketing Head

    Role changed last month

  • Procurement Lead

    Email bounce detected

  • Sales Director

    Company not updated

  • Operations Manager

    Number unreachable

  • Finance Controller

    Title mismatch found

Contact Records

Pending Re-Validation

  • Marketing Head

    Role changed last month

  • Procurement Lead

    Email bounce detected

  • Sales Director

    Company not updated

  • Operations Manager

    Number unreachable

  • Finance Controller

    Title mismatch found

Accuracy Gap

High Rate of Outdated Contacts

Many records are scraped or inferred, not directly confirmed. As professionals change roles, data quickly becomes unreliable.

Wrong Emails

Job Changes

Model Flaw

Collection Without Continuous Validation

Data is gathered digitally, but real confirmation happens offline. There is no built-in loop to keep records consistently accurate.

No Feedback Loop

Rapid Decay

Where is this validated?

Data is collected online, but confirmed offline. There is no loop to keep records accurate.

Data Source Log

|

Unverified

Outdated

Assumed

Where is this validated?

Data is collected online, but confirmed offline. There is no loop to keep records accurate.

Data Source Log

|

Unverified

Outdated

Volume Over Accuracy…

Unverified

Inflated

Unchecked

Draft

Schedule

Sent

Volume Over Accuracy…

Unverified

Inflated

Unchecked

Draft

Schedule

Sent

Incentive Mismatch

Platforms Optimize for Volume, Not Integrity

Revenue models reward database size and access subscriptions — not long-term accuracy of each record.

Weak Signal

Inflated Counts

Revenue Impact

Inaccurate Data Reduces GTM Efficiency

When bad data enters outreach and CRM systems, teams waste time, spend more to acquire customers, and forecast with less confidence.

Wasted SDR Hours

Higher CAC

Hey Revenue Team!

Here is your Outreach Performance Summary

Active Campaign:

Enterprise Outreach

Low Connect Rate

Activity Log

Mo

Tu

We

Th

Fr

Sa

Su

Call Attempt

No Response

Email Sent

Bounce Detected

Hey Revenue Team!

Here is your Outreach Performance Summary

Active Campaign:

Enterprise Outreach

Low Connect Rate

Activity Log

Mo

Tu

We

Th

Fr

Sa

Su

Call Attempt

No Response

Email Sent

Bounce Detected

Our Solution

A Validation-First Architecture for Contact Intelligence

UConneKT is building a structured system that aligns contact data collection with ongoing real-world confirmation.

The focus is not database size — but sustained accuracy.

Structural Alignment

Collection Aligned With Confirmation

The system is designed so that contact data originates closer to where professional validation naturally occurs.

Our solution

Community

Incentive Design

Accuracy-Driven Participation Model

Participation is structured to encourage high-quality submissions and discourage outdated or low-signal data.

  • Submission Received

    IF Accuracy >= Standard
    Status = Approved
    Reward = Credits Issued
    ELSE
    Status = Rejected
    Reward = None

    IF Record Becomes Outdated
    Credits = Reduced
    Status = Revalidation Required

    System Goal: Maintain Integrity
  • Submission Received

    IF Accuracy >= Standard
    Status = Approved
    Reward = Credits Issued
    ELSE
    Status = Rejected
    Reward = None

    IF Record Becomes Outdated
    Credits = Reduced
    Status = Revalidation Required

    System Goal: Maintain Integrity

Continuous Integrity

Built-In Re-Validation Loops

Data is not treated as static. The architecture supports ongoing accuracy checks to reduce long-term decay continuously.

Revalidating active records…

System review

Accuracy check

Freshness scan

Role update

Authority change

Controlled Access

Tiered Signal-Based Unlocking

Access is structured to prioritize higher-signal professional profiles while maintaining system integrity.

Signal Access Layer

Precision increases with tier

Profile Unlock System

Higher signal, deeper access

Integrity Gate

Low-signal records restricted

We are currently building the validation engine and engaging early partners.
For a detailed product walkthrough and architecture discussion, connect with the founding team.

We are currently building the validation engine and engaging early partners.
For a detailed product walkthrough and architecture discussion, connect with the founding team.

Founder Insight

Operator-Led. Revenue-Tested.

UConneKT is built from direct experience managing enterprise pipelines where data accuracy materially impacted revenue outcomes.

Built From Enterprise GTM Experience

Built From Enterprise GTM Experience

Over 18 years in B2B sales and revenue leadership, working across large enterprise relationships and multi-market environments.

The problem UConneKT addresses was experienced repeatedly inside real GTM systems — not observed externally.

Key Background Highlights

18+ Years in B2B GTM Leadership

₹120+ Cr in Enterprise Relationships Managed

Multi-Country Sales Team Leadership

CRM-Driven Revenue Systems Built and Scaled

Kamlesh Sorte

Founder & Architect, UConneKT

18+ years in B2B GTM leadership across enterprise and multi-market sales environments.

Key Background Highlights

18+ Years in B2B GTM Leadership

₹120+ Cr in Enterprise Relationships Managed

Multi-Country Sales Team Leadership

CRM-Driven Revenue Systems Built and Scaled

Investment Case

Why UConneKT

UConneKT addresses a structural flaw in the B2B data economy through an architecture shift — not incremental feature improvement.

Structural Market Opportunity

Contact data underpins modern GTM systems. As automation scales, accuracy becomes infrastructure.

Architectural Differentiation

Built around validation-first design - not database volume, and online signals.

Operator-Led Insight

Originates from enterprise GTM experience managing revenue at scale.

Infrastructure Ambition

Designed to become a foundational layer within the GTM stack.

Infrastructure Ambition

Designed to become a foundational layer within the GTM stack.

Contact

Connect With the Founding Team

We are engaging with venture investors and strategic partners aligned with validation-first infrastructure.