A note from Lee Iverson, Co-founder and CTO

Most B2B SaaS companies ship fast and iterate in production. We took a different approach.

Between January and April 2026, valueIQ was in a soft launch period. We generated 200+ value cases. We analyzed 2,000+ pricing pages. We worked with eight pilot customers who ran real deals through the platform and told us what broke.

We did not declare general availability until the output could hold up in front of a CFO. Our only quality gate: would a CFO accept this without questioning the math?

A hallucinated ROI number sent to a CFO is worse than no ROI number. It destroys credibility and ends the deal. We weren’t willing to ship until the value methodology, the data extraction, and the output quality were ready for that level of scrutiny.

This was not a delay. It was a design constraint.

valueIQ shipped general availability in April 2026 with three capabilities delivered in a single workflow.

Paste in deal context - company name, deal size, use case - and valueIQ generates a CFO-ready business case in minutes.

This is not a template with placeholders filled in. The value methodology runs on every input - every deal context produces a structured, quantified, finance-grade output.

When a buyer says “your competitor is cheaper,” the AE needs a response in the room - not a promise to follow up.

valueIQ analyzes competitor pricing pages continuously. For any given deal, the platform surfaces:

The output is usable in a live negotiation. The AE has a quantified price defence argument instead of a reflexive discount.

The business case and pricing analysis are outputs. Deal coaching is context.

For every value case generated, valueIQ produces:

This is the missing piece that turns a document into a deal weapon. The AE knows not just what the numbers are, but how to communicate them to a CFO who is paid to find holes.

The capabilities are not separate tools. They are one workflow.

Deal context goes in. A CFO-ready value case, competitive pricing context, and deal coaching guidance come out - in a single output, ready to use.

This is the foundation. Everything we are building next is built on top of this.

Three capabilities are functional today but still being refined before full release.

Every value case generated becomes a reusable team asset.

The library indexes value cases by industry, use case, deal size, and buyer persona. When an AE is working a new deal, they can search the library for similar deals - and use the closest match as a starting point.

This is how institutional value memory compounds. The first deal takes four minutes. The tenth deal in the same vertical takes two.

What’s live: The library exists. Value cases are being indexed.

What’s being built: Advanced search, similarity matching, and the ability to fork a value case from the library and adapt it to a new deal context without starting from scratch.

Companies with partner channels face a structural problem: the further you get from the founding team, the weaker the value narrative becomes.

This gives partners the same value intelligence the direct sales team uses - without requiring them to internalize years of positioning work.

A partner pastes in their deal context. valueIQ generates the value case using the company’s proprietary value methodology. The output reflects the founder’s positioning - delivered through the partner’s deal.

What’s live: The value case generation engine works for partner deals the same way it works for direct deals.

What’s being built: Partner-specific onboarding workflows, white-label output options, and deal handoff protocols for mixed-motion GTM teams.

The business case that closes the deal should become the baseline for proving value at renewal.

This connects what was promised in the business case to what was delivered after close - creating a quantified record of value that CS can use at every QBR and renewal conversation.

What’s live: Value cases generated at deal close can be marked for renewal tracking.

What’s being built: A formal value realization plan - a structured, CS-facing document that connects deal close to renewal proof, tracks value delivery against the original business case, and gives CS the evidence they need to defend price at renewal.

This is the capability that closes the value lifecycle loop. It is the next major unlock.

The capabilities above are valueIQ as a standalone application. What comes next is valueIQ as infrastructure.

We are building an MCP (Model Context Protocol) Server targeting Q2 2026 general availability.

The MCP Server makes value intelligence available in every tool the revenue team already uses - CRM, CS platforms, AI agents, CPQ.

An AE is working a deal in Salesforce. They open the deal record. The value case is there - generated from valueIQ, embedded in Salesforce, ready to attach to the proposal. No context switch. No separate tab.

A CS manager is preparing for a QBR in Gainsight. They pull up the customer record. The renewal value proof is there - showing what was promised at deal close and what was delivered since. The QBR deck builds itself.

A pricing analyst is evaluating a discount request in CPQ. The value case is there - showing why the price is right and what margin impact the discount would have. The approval decision has context.

This is what we mean by “the common layer.” Value intelligence that follows the deal across every tool in the stack.

The MCP Server is not a feature. It is the architecture decision that makes valueIQ infrastructure instead of an application.

Three use cases become possible once the MCP Server is live:

AI buying agent readiness: AI agents evaluating vendors need structured, machine-readable ROI data. valueIQ produces it.

RevOps deal analytics: Every value case generated becomes a data point. RevOps can analyze which value drivers close deals, which industries have the highest ROI, and which competitive scenarios require the most price defence.

CS value tracking: Value realization metrics - what was promised, what was delivered, what the gap is - become visible across the CS platform. Value health scores replace activity health scores.

These are on the roadmap. They are not available today. The MCP Server is what makes them possible.

valueIQ is not trying to be another tool in the revenue stack. It is building the layer that gives every tool a common language for value.

The revenue stack today is fragmented. CRM tracks deals. CPQ configures products. Revenue intelligence forecasts pipeline. CS tracks activities. Every tool has its own data model, its own workflows, its own definitions.

None of them can answer the one question every buyer asks: “What’s the ROI?”

valueIQ is the layer that connects value and pricing intelligence across all of them.

The value case generated in valueIQ travels to Salesforce, to HubSpot, to Gainsight, to the AI agent the buyer is using to evaluate vendors. It is the same data, the same structure, the same cited methodology — in every system.

This is what the MCP Server enables. This is what we have been building toward from day one.

A business case is any document that attempts to justify an investment. It could be a slide deck, a spreadsheet, a PDF proposal — anything.

A value case is a specific output generated by valueIQ using proprietary value methodology. It includes cited equations, risk-adjusted ROI calculations, payback period analysis, and value drivers grounded in this customer’s industry and use case. It is built to survive CFO scrutiny — not just communicate value, but defend it.

Every value case is a business case. Not every business case is a value case.

Under 10 minutes from account creation to output. Paste in deal context — company name, deal size, use case — and the platform generates the value case. No training required.

A general-purpose LLM will give you a number. valueIQ gives you a number you can defend in front of a CFO — with cited equations, risk adjustments, and payback calculations grounded in real value methodology. Hallucinated ROI numbers are worse than no ROI numbers. This domain requires 15+ years of proprietary value methodology from 100+ B2B SaaS pricing engagements. That is not something you prompt your way into.

Yes. valueIQ operates standalone as a deal and value workspace. The MCP Server — coming Q2 2026 — will make value intelligence available in CRM, CS platforms, and AI tools. But you can start using it today without any integration.

Every value case becomes a reusable team asset in the value case library. Search by industry, use case, deal size, or buyer persona. Use the closest match as a starting point for your next deal. The library is how institutional value memory compounds.

The free tier is live. 500 credits per month — enough to generate your first value case and see whether the output is better than what your team produces today.

No integration required. No IT project. No credit card. First value case in under 30 minutes.

Start here: valueiq.ai