Wisdomai launches for $23 million to transform business intelligence using reasoning agents and knowledge fabrics

Wisdomai, a new force for enterprise AI, has officially emerged from stealth with a funding of $23 million, led by Madrona, GTM Capital and Anthology Fund and led by Coatue Ventures. To overcome the limitations of legacy business intelligence tools, Wisdomai introduced the first-of-its-kind proxy data insights platform, a system that enables organizations to gain proactive, contextual and instant insights from their fragmented data ecosystem.

Fortune 100 companies such as Cisco and Conocophillips are already using Wisdomai to unlock insights previously buried under data silos, delayed by dashboards or stuck in outdated reporting systems.

Go beyond the dashboard with proxy intelligence

Modern organizations have made significant investments in data infrastructure (DATA warehouses, visual tools, CRMS), but still face a core bottleneck: converting data into timely, actionable decisions. Traditional dashboards and reports are limited to pre-configured insights and require analysts to turn business issues into queries.

Wisdomai replaces static dashboards with intelligent inference agents that understand commercial semantics and provide insights through natural language interfaces. These AI agents can not only retrieve data—they can interpret, connect, and be rational to provide clear, actionable guidance.

Wisdomai’s core: Knowledge fabric + professional AI agent

At the heart of Wisdomai is the knowledge structure, which is an evolving layer that learns relationships, terms and KPIs unique to each enterprise. Unlike general LLM, this fabric is rich with expertise in the human field and is constantly updated in structured and unstructured sources, and is updated with real-time data.

Sitting on the top of this smart context engine are three AI-powered agents:

• Knowledge Planning Agency: Quickly map your business data vocabulary and map key concepts and metrics into your knowledge structure. This layer captures institutional knowledge that the general AI model misses.

• Instant answer agent: Make anyone (from executives to frontline employees) ask business questions in simple English and get accurate answers immediately in the best format (tables, charts or text).

• Positive Insights Agent: Continuously monitor your data to remind you of opportunities or threats before escalation (such as churning risks or budget anomalies).

Personalized, safe and ready to integrate

Wisdomai connects directly to your existing stack: databases, spreadsheets, CRM, ERP, marketing tools and productivity platforms such as Slack and Microsoft teams. No need to tear and replace infrastructure, i.e. Wisdomai as smart coverage.

Safety is the most important thing. Wisdomai won’t train or fine-tune LLM on your proprietary data. The knowledge structure remains private and organization-specific. Businesses can also bring their own LLM to meet unique compliance and governance requirements.

Furthermore, the response is character understanding and tailored. For example, salespeople may gain insights about pipeline health, while CMOs can access hybrid marketing performance across channels. The team also benefited from shared learning, as Wisdomai recommends based on insights found by colleagues.

Business scope use cases

Wisdomai is designed to support multiple business functions:

• Sales and Inspiration: The alert team improves risk transactions and improves conversion rates by analyzing pipeline health in real time.

• marketing: Converge campaign data, channel performance and audience insights to improve ROI.

• Customer Success: Identify churn signals, sales opportunities, and automatically prepare QBR.

• Manufacturing and supply chains: Through AI-driven analysis, predict demand, optimize resources and inefficient operations.

In all cases, Wisdomai can move from reactive reporting to real-time, proactive decision-making.

The rapid development behind Wisdomai

A key part of Wisdomai’s rapid innovation capability lies in its embrace of AI-assisted software development, commonly known as Vibe encoding. This method flips traditional product development, starts with code, and then iterates on the design. By using AI to generate functional software based on natural language prompts or advanced goals, developers of Wisdomai can quickly prototype key features and get real-time feedback from actual usage.

This first-of-its approach allows Wisdomai designers to perfect the UX and visual layers based on real behavior rather than static wireframes. Before writing a line of code, instead of its long design cycle, the team that was excited with the development of the product directly designed the design on the functions generated by on-site AI.

result? A system that feels intuition from day one and constantly improves through real-world interactions.

The ultimate idea: the future of data-driven decision making

Wisdomai not only needs to solve technical problems, but also solves the strategic gap in how enterprises operate. As Sri Viswanath jacket venture capital, “Real-time insights fundamentally change how businesses operate … without access to intelligence, these early warning signals are still buried in the data.”

Karan MehandruMadrona’s managing director responded to the emotions: “Wisdomai resolved [decision-making bottlenecks] With a smart platform, connecting different data sources and converting them into positive insights, providing a decisive competitive advantage. ”

In an era of AI overload, Wisdomai not only provides intelligence, but also agency. The platform is not waiting for you to analyze the data. It will come across where you are, understand your goals and work next to you to expect, analyze and suggest.

With Wisdomai, the future of business intelligence is no longer passive. It is agent, personalized, secure and proactive.