Lingkuai Tech raises millions in angel funding, launches self-evolving AI data analyst TabTab | New Unity Ventures portfolio company
Empowering individuals and organizations with self-evolving AI assistants
Recently, large-model application company "Lingkuai Technology" announced the completion of a multi-million-yuan angel round, with Unity Ventures as the investor. The funds will be used primarily for product R&D, market expansion, and team hiring.
Founded in May 2024, Lingkuai Technology is a multi-agent AIGC product and service provider dedicated to building AI Agent teams that rival human teams — making "1 employee + 3-5 AI Agents" equivalent to "10 employees" a reality. The company continues to explore the potential and boundaries of large models, enabling every individual and organization to have self-evolving AI intelligent assistants.
Unlike AI coding agents such as Cursor, WindSurf, Replit, and Loveble, as well as general-purpose agents like Genspark and Manus, Lingkuai Technology's first AI Agent team targets the data analytics scenario as its entry point.
According to Forrester research, over 73% of enterprise data today goes unused in business decisions — not due to insufficient data, but because organizations lack the ability to transform massive datasets into insights and action. McKinsey & Company emphasized in its Generative AI Business Impact Assessment that enterprises successfully deploying AI Agent teams for data analytics could see decision response speeds improve by an average of 5x and operating costs reduced by 30%. In an era where large language models are reshaping competitive dynamics, the "Data+AI" transformation has shifted from "optional" to "mandatory."
To meet widespread "Data+AI" demand, Lingkuai Technology has launched TabTab, a self-evolving AI data analyst now in closed beta (invite codes at the end). TabTab accelerates data analysis and business insights by simulating human thinking, engaging in multi-round reasoning and tool invocation, and delivering polished visualizations through AI coding and other methods.
TabTab consists of an AI Agent team comprising planning and execution agents, data science agents, long-form report writing agents, DB agents, general-purpose programming agents, along with several sub-agents and utility tools. Optimized for the full closed-loop workflow from data collection, processing, and analysis to intelligent decision-making, TabTab's core capabilities include:
Spreadsheet Analysis
Users simply converse with TabTab, which automatically handles chart processing and analysis — fundamentally changing how users interact with tabular data. It supports correlation analysis, cross-analysis, linear regression, attribution analysis, and more, freeing users from tedious manual chart creation, formulas, and calculations. Without writing complex formulas or code, TabTab transforms complex unstructured text data into actionable insights, powering decision intelligence.
Prompt: Use linear regression to forecast Guangdong's 2025 GDP
Business Insights
TabTab understands natural language queries and, through integration with various databases, data warehouses, and knowledge bases, converts user input into structured query language (SQL) and returns precise results. It helps non-technical personnel quickly access, analyze, and derive insights from data using natural language — fully unlocking the value of data assets and becoming a business insights assistant for everyone.
Prompt: Analyze how Freshippo's front-warehouse layout strategy in Beijing, order-picking process optimization, and delivery routing algorithm affect average delivery time and order fulfillment costs.
Research Reports
Based on Deep Research, TabTab automatically generates industry research reports, trend analysis reports, and market insight reports through multi-round reasoning and tool invocation. Beyond extracting key information from massive datasets, conducting automatic trend forecasting, and data visualization, it presents complex analysis results through rich charts and supports one-click export to polished web pages, PDFs, PPTs, and other formats. This dramatically improves report generation efficiency and professionalism, helping users rapidly gain deep insights to inform business decisions.
Prompt: Research the global new energy vehicle competitive landscape, and analyze Chinese brands' (such as BYD, NIO, etc.) domestic and international market strategies, technical advantages, and global consumer acceptance.
Chart Generation
Simply provide a data text snippet or upload a data report document, and TabTab will organize key data into polished charts. It supports pie charts, bar charts, line charts, scatter plots, bubble charts, combo charts, polar charts, and more — effectively lowering the barrier to creating various chart types.
Prompt: I've uploaded CATL's (300750) daily stock data for the past year. Please analyze the overall trends and volatility of its stock price and trading volume, and generate a visualization analysis report.
Currently, TabTab covers internet, retail, finance, manufacturing, and other sectors, with typical application scenarios including:
Consumer Insights
Effective mining and analysis of Voice of the Customer (VOC) is typically a pain point in enterprise data analysis. Product reviews, customer service records, and cross-platform e-commerce data — being unstructured — are difficult to analyze effectively, leaving enterprises struggling to rapidly identify problems or opportunities from massive user feedback. Through TabTab's data analysis decision intelligence agent, users can gain competitive advantage in product development, selling point optimization, and competitor analysis — moving faster to create hit products and build compelling brands.
Intelligent Marketing Operations
In marketing, enterprises often struggle with precisely targeting audiences, generating personalized content efficiently, and optimizing cross-channel touchpoint paths — traditional marketing methods cannot efficiently match dynamic user needs. Through TabTab's data analysis decision intelligence agent, businesses can precisely identify target segments such as high repurchase potential and high churn-risk users based on behavioral data and predictive models, automatically matching product features with user preferences to generate personalized benefits and content matrices.
Business Decision Support
In enterprise operations, traditional business decisions typically rely on dashboards or reports with fixed cycles. But markets change rapidly, and enterprises often find themselves doing "post-hoc reviews" wondering why they missed opportunities. Moving from "post-hoc review" to "dynamic response" requires immediate data feedback and decision analysis capabilities. TabTab builds a complete "data-analysis-insight-decision" closed loop, proactively discovering data insights to provide real-time, precise intelligent support for business decisions — becoming a "secret weapon" for winning in the market.
TabTab's technical foundation is a Multi-Agent intelligent multi-agent architecture with self-evolving intent recognition and task planning/distribution capabilities, supporting both active and passive human intervention, effectively balancing AI reasoning with human decision-making. Through precise context and memory management, TabTab minimizes overhead while effectively reducing context length during agent handoffs and extending the perception time horizon.
TabTab's remote workspace is a cloud-native AI sandbox providing enterprise-grade execution environment isolation and data isolation for security. Built-in Browser Use remote browser support enables secure web automation with real-time human intervention; the multi-language programming environment fully supports Python, Node.js, and other mainstream development ecosystems.
TabTab targets professional individual users and SMBs, offered in SaaS and private deployment versions. An international version will launch in the second half of the year to expand into global markets. TabTab's inspiration comes from the Tab key for code completion in AI programming — making data analysis as simple as pressing Tab-Tab to complete code. Its vision is to make everyone a data analyst.
Additionally, Lingkuai Technology's product portfolio includes Botnow, a large-model application development platform featuring visual agent building, MCP tool calling, workflow orchestration, RAG retrieval, multi-model calling, and other capabilities. It is widely applied in knowledge Q&A, intelligent customer service, content creation, data analysis, and intelligent marketing scenarios. Botnow currently serves clients including China E-Port, the National Intellectual Property Administration Trademark Office, and Zhongxuan Education.
Lingkuai Technology's core team comes from IBM, Alibaba, Tencent, and other leading enterprises, having led R&D and commercialization for multiple products. They bring extensive experience in enterprise digitalization and intelligent transformation, with solid technical expertise and product commercialization capabilities.
Going forward, Lingkuai Technology will use TabTab AI Data Analyst as its entry point, gradually expanding its large-model-based AI Agent teams to more enterprise scenarios, continuously refining its "technology-scenario-business" closed loop, and building next-generation self-evolving data intelligence applications for users.
Invite codes:
https://tabtabai.com?invite_code=ZGlKL6
https://tabtabai.com?invite_code=jb3vQ6
https://tabtabai.com?invite_code=lyW8No
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