Company

Built to make enterprise operating context durable.

Verimir connects the systems organizations already run into a governed operating model—preserving evidence, context, authority, and outcomes so people and AI can reason and act through it.

Verimir builds the infrastructure that makes enterprise operating context durable, governable, and actionable.

Company thesis
01BusinessPurpose · people · authority
02SystemsOperating model · evidence · state
03IntelligenceReasoning · action · learning
PurposeOperating modelTechnologyOutcomes

Company at a glance

Verimir · Enterprise Intelligence Infrastructure

Public identity, founders, discipline, category, initial domain, and the ongoing operating relationship—stated without collapsing them into one label.

01
Public identity
Verimir
02
Founders
Ben Schauerhamer · Frans Lambrechtsen
03
Discipline
Enterprise Intelligence Engineering
04
Category
Enterprise Intelligence Infrastructure
05
Initial domain
Delivery Landscape
06
Operating relationship
Managed Intelligence

Why Verimir exists

Enterprise intelligence is an operating-context problem.

Organizations already have systems, documents, policies, workflows, people, data, and AI tools. The missing layer is often the operating context that connects what exists, what is true, what changed, what evidence supports it, who has authority, and what should happen next.

Enterprise intelligence is an operating-context problem
  • Systems
  • Documents
  • Policies
  • Workflows
  • People
  • Data
  • AI tools
Missing connective layerOperating context

Evidence · state · relationships · authority

  1. 01What is true now?
  2. 02What changed?
  3. 03Why did it change?
  4. 04Who may act?
  5. 05What should happen next?

That is the problem Enterprise Intelligence Engineering addresses.

Leadership

Experience from both sides of the operating boundary.

Verimir combines systems engineering, architecture, delivery, infrastructure, AI, commercial leadership, business operations, Salesforce, and hands-on enterprise systems work.

Portrait forthcoming

Founder

Ben Schauerhamer

Enterprise Intelligence Architecture & Engineering

View LinkedIn ↗

Ben has spent more than two decades moving from software and systems engineering into quality leadership, product engineering, enterprise consulting, delivery and release operations, architecture, infrastructure, business operating models, enterprise systems, and AI. He served in the U.S. Army working on the armament and electrical systems of the AH-64D Apache Longbow.

His work has crossed government, logistics and shipping, energy, clinical research, sales operations, customer service, identity and records, and other complex enterprise environments. The recurring challenge was rarely one application. It was understanding how the organization operated, how evidence moved, where authority lived, and how business intent became durable system behavior.

Influenced by W. Edwards Deming and systems thinking, Ben treats quality as a property of the whole system. Delivery begins before code: requirements, architecture, evidence, validation, authority, release, observation, and learning all shape the outcome. That experience led to Enterprise Intelligence Engineering and Verimir—a governed environment for the operating context fragmented across enterprise systems.

Areas of work
  • Enterprise Intelligence Architecture
  • Business Operations + Enterprise Systems
  • Product + Platform Engineering
  • Enterprise Architecture + Integration
  • Delivery, DevOps + Engineering Operations
  • Cloud, Data + AI Infrastructure
  • Enterprise Intelligence Engineering
Systems + engineering evidenceQuality is designed into the whole system.
  1. 01Quality + systems thinkingQuality is designed into the system
  2. 02Enterprise consultingGovernment · Logistics · Energy · Operations
  3. 03Product engineeringFrom domain problem to product
  4. 04Delivery + releaseDelivery starts before the code
  5. 05Business + technologyTwo decades at the operating boundary
  6. 06Enterprise intelligenceEIE → Verimir
Portrait forthcoming

Co-Founder

Frans Lambrechtsen

Business Operations & Enterprise Systems

View LinkedIn ↗

Frans has spent his career operating businesses and translating those requirements into enterprise systems. He combines senior commercial leadership, international sales, channel development, general management, and enterprise sales with hands-on Salesforce administration, business analysis, workflow design, permissions, CRM migrations, integrations, analytics, customer service, and field-service operations.

At Folio Corporation, Frans grew international revenue from approximately $250,000 to $7 million while expanding the partner and distributor network from roughly 30 to more than 80 organizations across 30 countries. For more than a decade, he has worked directly in the Salesforce ecosystem across organizations ranging from hundreds to thousands of users.

His work connects business intent to requirements, access design, workflow, evidence, and durable platform behavior. At Verimir, that operating perspective keeps enterprise intelligence grounded in how organizations actually sell, serve customers, coordinate people, manage change, and make decisions.

Areas of work
  • Business operations and commercial leadership
  • International sales and channel development
  • General management and revenue operations
  • Salesforce administration and business analysis
  • Customer service and field-service operations
  • Requirements, workflow, and access design
  • CRM migration, integration, and analytics
Business + systems evidenceOperating intent becomes durable system behavior.
  1. 01International revenueApproximately $250K → $7M
  2. 02ChannelRoughly 30 → 80+ partners
  3. 03Geography30 countries
  4. 04Salesforce ecosystem10+ years
  5. 05Business + systemsSales · Service · Field
  6. 06Operating translationIntent → durable system behavior

Why this team is unusual

Business operation meets systems engineering.

Enterprise intelligence cannot be engineered only from the technology layer or only from the business layer. The operating model has to connect intent to system behavior.

Complementary operating perspectives
Ben · Systems → intelligence

Engineering the operating environment.

Architecture · Delivery · Evidence · Governance · Infrastructure · AI · Operating models

Enterprise Intelligence Engineering
Frans · Business → systems

Translating operations into durable system behavior.

Sales · Operations · Customer experience · Requirements · Process · Salesforce · Enterprise systems

Business intent must become durable system behavior.

Enterprise Intelligence Engineering

Intelligence is an engineering discipline.

Enterprise Intelligence Engineering spans purpose, systems, infrastructure, models, evidence, semantics, governance, authority, applications, controlled action, observation, and learning.

01Purpose02Systems03Infrastructure04Models05Evidence06Semantics07Governance08Authority09Applications10Action11Observation12Learning
Enterprise Intelligence Engineering operating loop

Enterprise Intelligence Engineering observes the operating environment, diagnoses what changed, models the problem, prioritizes work, engineers a response, measures outcomes, learns, and returns to observation.

  1. 01Observe
  2. 02Diagnose
  3. 03Model
  4. 04Prioritize
  5. 05Engineer
  6. 06Measure
  7. 07Learn

The discipline keeps purpose, human authority, observation, and learning inside the engineering system as technology changes.

Explore Enterprise Intelligence Engineering ↗

Brand transition

Verimir is now the public identity.

During the transition, ConservaTech Networks remains visible in legal, privacy, and continuity references. The engineering thesis is unchanged. This continuity mention is temporary and is not a legal-entity claim.

Public identity progression
01ConservaTech Networks
02Enterprise Intelligence Engineering
03The Verimir Platform
04Verimir becomes the public identity
The public brand is changing.The engineering thesis is not.

This site does not imply that a legal-entity rename, new incorporation, or email-domain migration has been completed.

Built by ConservaTech Networks

Company principles

Four boundaries shape the product and the operating relationship.

Capability can expand without weakening durable context, explicit authority, model choice, or customer control.

01Intelligence should be durable.
02Authority must remain explicit.
03Models should remain replaceable.
04Customers should control their organizational intelligence.

A useful first step

Start with one decision, workflow, or operating need that crosses systems.

Bring the systems, evidence, and people involved. We’ll identify a useful starting point for a governed Verimir environment.