Platform

Product Truth, put to work

AI Sales Engineers and Solution Architects that run on structured models of the products you sell, work on their own or alongside your experts, and carry the design into delivery.

01How it works 02Product Truth 03Into delivery 04See the work 05Integrations
01How It Works

Works on its own. Works alongside your experts.

VecturAI runs in two modes on the same product knowledge models: agentic, triggered by events in the systems your teams already use, and assistant, driven directly by your experts.

Agentic mode

Event-driven, in the background

When a deal moves, the right work starts without anyone asking. Your experts step in only where their judgment is needed, and each answer moves the work forward.

01 · Trigger

An event lands

Opportunity updated · Salesforce Discovery call transcript · Gong
02 · Skills

The right skills run

Matched to the event: a fit assessment, a solution design, an RFP response.

03 · Run

Grounded in Product Truth

Each run reasons over the product knowledge models for every product in the deal.

04 · Outputs

Artifact and expert task

✓ Artifact posted back to the source system ! Task for your expert: 5 things to clarify with the prospect
05 · Expert answers the open questions → the next run starts automatically
Assistant mode

Expert-led, on demand

For the work that needs a conversation. Your expert drives, and VecturAI does the heavy lifting on every turn.

01Log inOpen the workspace for the account or opportunity.
02Seed the threadAdd context: requirements, the current estate, an RFP.
03Run a scenarioFit, design, migration or response.
04Evaluate the outputReview it the way you'd review a colleague's work.
05Follow upRefine, extend or take it in a new direction.

Both modes draw on the same product knowledge models.

02Product Truth

Intelligence Anchored in Truth™

AI for software engineers is grounded in code. AI for designers is grounded in design systems. AI for sales engineering and solution architecture needs product truth: an explicit model of how each product works, what it depends on and where its limits are. VecturAI builds that model for every product in your portfolio, then uses it to direct the LLM's reasoning through every solutioning task.

  • →Versioned product models that absorb feature, API and licensing changes
  • →Cross-product reasoning that resolves dependencies across vendors
  • →Every run ends with the open questions that need an expert's call
  • →One design context, from presales through delivery
// product_truth: five layers, built for every product
01market

Market context

Solution boundaries, use cases and adjacent products

02topology

Topology

How product components fit together

03ontology

Ontology

Product concepts and what they mean

04graph

Knowledge graphs

Capabilities, dependencies, constraints and licensing, connected

05sources

Data stores

Supporting detail from product documentation

Structure amplifies the model

One ServiceNow architecture decision. Identical inputs.

The frontier LLM working alone reasoned well, but it assumed ServiceNow had no built-in complaint model and recommended the opposite design. Strong reasoning without product truth is fluent and wrong.

Previous-generation LLM + VecturAI 93 / 100
Frontier LLM alone 62 / 100
Scored for accuracy, reasoning depth and completeness, with every product claim checked against ServiceNow documentation. Single scenario, evaluated by VecturAI.

LLMs supply the reasoning. VecturAI directs it. Better models make VecturAI better.

03Technical Win to Delivery

The handoff becomes a continuation, not a restart

Margin is won or lost between the signed deal and the first sprint. VecturAI keeps the design, its rationale and the product facts behind it in one place, for delivery teams and for the coding agents they work with.

Built for coding agents

Implementation grounded in product truth

VecturAI Product Truth
Solution & technical design
01 · VecturAI → coding agent
Design artifacts, ready to build from

The solution and technical design artifacts produced in VecturAI become available to the coding agent.

02 · coding agent → VecturAI
Live calls for product truth

Mid-build, the coding agent calls VecturAI directly for the product facts, interfaces and constraints it needs.

Coding agent e.g. Claude Code
Connectors · scripts · integrations
✓ GroundedBuilds grounded in factual product knowledge
✓ FasterFewer build iterations
✓ EfficientLess wasted token spend
01◆

One workspace, presales to delivery

Delivery joins the workspace where the deal was shaped. Decisions, constraints and open questions are already there, so no one re-runs discovery and customers don't repeat themselves.

02◎

Every party to the deal

Vendors, distributors, resellers and integrators often touch the same opportunity. Cross-organization workspaces let a vendor architect, a reseller's SE and an SI's delivery lead work from the same product truth.

Workspaces carry standing context, account-level rules and memory that compounds, distilling your instructions and inputs across threads and applying them automatically. Each workspace gets more tailored to its account over time, so no one has to repeat themselves.

04See the Work

Customer-ready work, not chat answers

The AI Sales Engineer and AI Solution Architect produce the artifacts your team would: capture plans, fit assessments, RFP responses, compatibility and migration analyses, and estimates. Each is grounded in Product Truth and ready for expert review.

Engineer the deal — before, during, and beyond the RFP.

ai_sales_engineer · capture_management ● grounded
Capture Management
RFP Fit Assessment
RFP Response
01 / 03AI Sales Engineer

Capture Management

Qualify, position, and plan the technical pursuit grounded in product truth.

  • 01Capture Management
  • 02RFP Fit Assessment
  • 03RFP Response

Validate feasibility and scope — with artifacts you can defend.

ai_solution_architect · compatibility_analysis ● grounded
Compatibility and Feasibility Analysis
Migration Impact Analysis
Effort Estimation and Commercial Scoping
01 / 03AI Solution Architect

Compatibility & Feasibility Analysis

Check compatibility across constraints, versions, and dependencies.

  • 01Compatibility & Feasibility
  • 02Migration Impact Analysis
  • 03Estimation & Scoping

Turn product truth into retention, activation, and expansion.

customer_success · feature_triage ● grounded
Feature and Capability Triage
Feature Activation Guide
EBR and QBR Preparation
01 / 03Customer Success

Feature & Capability Triage

Triage features and capabilities against the customer's real environment.

  • 01Feature & Capability Triage
  • 02Feature Activation Guide
  • 03EBR & QBR Preparation
05Integrations

Run your commercial motion anywhere. Secure the technical win here.

Salesforce HubSpot Zoho CRM Confluence Jira Linear Airtable Webex
Confluence Webex Airtable Salesforce Linear Zoho CRM Jira HubSpot

Your commercial motion runs elsewhere: the account context, opportunities and conversations that live across CRM, meetings and chat. VecturAI draws it in as context (account, opportunity and task history included) and applies it against product truth held natively at its core.

Context from your commercial motion meets product truth from ours. That's how the technical win gets won, and the BOMs, solution documents and technical designs that secure it land right back on the deal record in the tools you already run.

Request an integration
06Request Access

See it on your portfolio.

Watch the AI Sales Engineer and AI Solution Architect work through an opportunity on the products you sell.

Request Access Login
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