What Inventive does

Inventive is an AI agent platform founded in 2022 that enables B2B SaaS companies to embed production-grade, customer-facing AI analytics and actions inside their own products. The platform sits on top of existing BI semantic layers (Looker, Omni, Cube) and offers three deployment surfaces: a contextual copilot or full-page experience embedded in the customer's SaaS product, a white-labeled hosted portal, or a headless MCP integration for existing AI stacks. Its differentiating technical layer is a built-in quality and learning system — automated quality scoring across every account, data source, and question type; regression testing of fixes across the full customer base before deployment; and a continuous learning loop that diagnoses issues from real usage, proposes fixes, and deploys them with human-in-the-loop approval. The product is supported by 15+ pre-built integrations (Snowflake, BigQuery, Redshift, dbt, Salesforce, Stripe, Slack, etc.) and offers full per-account/per-user configurability including branding, policies, domain knowledge, guardrails, and actions.

The company sells to enterprise B2B customers through a direct, sales-led motion with demo booking via Calendly as the primary conversion mechanism. Pricing is quote-based and not publicly disclosed, structured as annual SaaS subscriptions. The company is fully remote, headquartered in San Francisco, and operates with 1-10 employees. Inventive is backed by Wing Venture Capital (lead, with partner Chris Zeoli on the board), Tokyo Black, New Normal, Alumni Ventures, Stratus Ventures, and Irregular Expressions, having closed a $6.5M round in June 2024. Founding team credibility stems from decades of data-platform experience at Google (Looker, Maps, Search), Microsoft (Bing), and Meta (platform engineering), and only one named customer logo (Howler) is publicly cited to date.

Name

Inventive

Website

https://madeinventive.com

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

Inventive is an AI agent platform that helps B2B SaaS companies embed production-grade, customer-facing AI analytics and actions on top of existing BI semantic layers (Looker, Omni, Cube), with built-in quality scoring, regression testing, and continuous learning from real usage.

Ownership category

akta.pro rank

Product category

AI Agent Platform for Customer-Facing Analytics

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

akta.pro secondary industry

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

• AI agent platform
• Customer-facing AI
• Embedded analytics AI
• AI quality monitoring
• BI semantic layer AI

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. SaaS Platform Subscription: Annual subscription model for B2B SaaS companies. The company provides a configurable AI agent platform with quality and learning systems. Pricing is quote-based and not publicly disclosed.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels3 records

Core offering

Inventive provides a configurable AI agent platform with built-in quality scoring and continuous learning systems for B2B SaaS companies. It sits on top of existing BI semantic layers (Looker, Omni, Cube), enabling customer-facing AI analytics and actions via natural language, and can be deployed as an embedded copilot, white-labeled portal, or headless MCP integration. The platform continuously measures quality across accounts, runs regression tests, and auto-proposes fixes deployable with human approval.

Product overview

Inventive is a single unified product — a configurable AI agent platform with built-in quality and learning systems. The core Inventive product serves as the central offering, designed for B2B SaaS companies embedding AI analytics and actions in their products. It sits on top of existing BI semantic layers (Looker, Omni, Cube) and provides quality measurement, automated testing, and continuous learning capabilities. The platform offers flexible deployment options: contextual copilot/full-page experience embedded in the SaaS product, white-labeled hosted portal, or headless integration via MCP. The system measures quality scores across every account and data source, learns from real usage to improve automatically, and enables customers to analyze data and take actions via natural language.

Differentiator

Problem solved

Functional benefit

Products and services

• Inventive AI Agent Platform A configurable AI agent platform with built-in quality scoring and continuous learning systems, designed for B2B SaaS companies that need customer-facing AI analytics and actions to work reliably in production. It sits on top of existing BI semantic layers (Looker, Omni, Cube) and connects to 15+ data sources, enabling natural-language analytics and actions with automated quality measurement, regression testing, and continuous improvement. Offered via embedded copilot, white-labeled hosted portal, or headless MCP integration.

Quantifiable outcome

• AI is measurably better every week
• +2 more outcomes

Named customers2 records

Segments2 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration19 records

AI capability7 records

Feature6 records

Partnerships

One partnership is on record.

• LookercoreTechnology or IntegrationPrimary BI semantic layer integration. Inventive explicitly sits on top of Looker, Omni, and Cube as its core integration points.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Decagon: AI agent platform for customer support and customer-facing workflows, sold to B2B SaaS and enterprise. Comparable on target customer and use case (AI agents embedded in B2B products), with overlap in deployment modes and observability needs.
• WhyLabs: AI observability platform offering data and model monitoring, drift detection, and quality guardrails for production LLM and ML systems. Comparable on the AI quality monitoring layer that Inventive wraps around customer-facing BI agents.
• Sierra AI: Customer-facing AI agent platform for B2B SaaS companies, focused on production-quality conversational agents. Strongly comparable on the "AI for B2B SaaS product surfaces" wedge, with overlapping enterprise GTM and similar emphasis on quality and trust in production.
• LangSmith (LangChain): LLM observability, evaluation, and debugging platform built around the LangChain agent framework. Competes on the same quality/observability wedge and offers regression testing, tracing, and human-in-the-loop evaluation aligned with Inventive's positioning.
• Arize AI: AI observability and evaluation platform that provides drift detection, quality scoring, and tracing for production LLM applications. Comparable on the core quality/observability layer of Inventive's stack, and increasingly competes in the customer-facing AI quality space.
• Relevance AI: AI agent platform that helps teams build and deploy AI agents and copilots using structured data and integrations. Comparable to Inventive on agent framework, deployment via embedded/headless options, and target enterprise buyers embedding AI in their products.
• Vellum AI: LLM evaluation, testing, and observability platform used by enterprises to ship AI features reliably. Directly comparable on the "quality scoring and regression testing before deployment" value proposition that Inventive emphasizes, though Vellum focuses more on developer workflows than per-account customer-facing tuning.
• Stack AI: Enterprise AI agent platform that lets companies build and deploy AI workflows and copilots on top of their data, with a similar focus on production reliability and integration with BI/data sources. Closely comparable on product category, target buyer (B2B SaaS and enterprise), and deployment model.

Broad incumbents

• Datadog: Major cloud monitoring and observability incumbent that has expanded into LLM and AI application monitoring (LLM Observability, Watchdog for AI). Competes broadly with Inventive on AI quality monitoring for production systems, though as part of a much wider enterprise observability suite rather than a customer-facing agent focus.

Emerging players

• Weights & Biases: MLOps and AI evaluation platform offering experiment tracking, model evaluation, and monitoring. Comparable on the model lifecycle and quality measurement capabilities Inventive emphasizes, though typically used more by ML engineering teams than by B2B SaaS product teams.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/madeinventive

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Inventive