Best Agentic Analytics Software - Page 2

Tellius

Kaiya, our agentic worker, reasons across every data and documents while keeping your definitions and playbooks applied. Then, rather than stopping at the answer like a chat or copilot system, it outputs polished work, fully functional apps, and repeatable (governered) agentic workflows that run recurring work on a schedule and watch the business around the clock. Everywhere your team works Slack/ Teams/ CRM/ ERP etc. Need something new? Describe the tweak to the workflow, the insight, the app and it's tailored on your governed data in minutes. Tellius inherits the semantic layer you already have — Snowflake, dbt, your catalog — instead of replacing it. Connect and Architect resolves your entities and metrics into one model. A deterministic engine handles the numbers, so the answer is the same every run and traceable to source. Governed memory writes approved corrections back, so nothing gets taught twice.

Average Rating: 4.3/5.0

Total Reviews: 26

Fabi.ai

Fabi.ai is an all-in-one agile data analysis platform. It's designed to help data analysts, data scientists and other data practitioners uncover profit-driving insights through EDA and ad hoc analysis. It connects to all your data sources and allows you to create rich, interactive and collaborative reports directly in Fabi.ai, or push out the insights to spreadsheets, Slack and email.

Average Rating: 4.8/5.0

Total Reviews: 6

Improvado

Improvado is the AI command center for marketing teams at enterprise brands and agencies. One AI agent with the full context of your business brings together data from 1,400+ sources, answers questions about your marketing in seconds, generates creatives, runs A/B tests and checks your data quality. Under the agent sits a complete marketing data pipeline: extraction, transformation, governance, a warehouse you control, and dashboards your team acts on. Improvado also works inside Claude, ChatGPT and Cursor through MCP, so your team can ask questions where it already works. With Improvado, it's easy to track the performance of your cross-channel efforts, calculate complex metrics such as CLV or CAC, attribute revenue to touchpoints, and recreate customer journeys. The result: less time building reports, and less time between a report and the next budget decision. Want to learn more? Book a demo at www.improvado.io.

Average Rating: 4.4/5.0

Total Reviews: 91

Aible

Aible is an intuitive AutoML tool that enables your business team to create high-quality custom AI models focused on maximizing Business Impact. No training, no consulting required.

Average Rating: 4.0/5.0

Total Reviews: 5

Infoveave

Infoveave is an AI-powered unified data platform that helps enterprises automate data pipelines, improve data quality, enable predictive analytics, and turn insights into measurable business actions — all within a single environment. Unlike traditional BI tools or standalone ETL platforms, Infoveave connects the entire data lifecycle from ingestion and transformation to governance, analytics, and operational execution. Infoveave is built on a strong foundation of data governance and data security, ensuring consistent data management, compliance, and protection. With capabilities like data lineage tracking, metadata management, row-level security, and audit trails, the platform helps maintain data integrity and control. Key Features Fovea - AgenticAI Assistant Infoveave's AgenticAI, Fovea, is embedded across the platform. Fovea assists in building data transformations, suggesting insights, automating workflows, and simplifying advanced analytics, reducing technical dependency and improving cross-team adoption. Data Automation & Integration • 50+ native connectors (cloud apps, databases, warehouses) • Automated data ingestion & transformation • Workflow orchestration with monitoring & alerts • Real-time pipeline visibility AI-Powered Analytics & Predictive Modeling • AutoML for predictive insights • What-if scenario planning • Python integration for advanced modeling • API-accessible analytics endpoints Conversational Dashboards & Self-Service BI • Natural language queries • 100+ interactive visuals • Drill-down exploration • Scheduled & automated reporting Built-in Data Quality & Governance • Automated validation & anomaly detection • Data catalog & lineage tracking • Role-based access control • Audit trails & governance workflows Data Apps & Operational Workflows • Low-code applications • Integrated data capture forms • Automated decision triggers • Insight-to-action workflows Business Value • Faster deployment of data pipelines • Improved data accuracy and trust • Reduced reliance on multiple disconnected tools • Faster decision-making cycles • Measurable operational efficiency Infoveave unifies data automation, AI-powered analytics, governance, and operational workflows into one intelligent platform — turning enterprise data into trusted, actionable decisions.

Average Rating: 4.9/5.0

Total Reviews: 9

AI Reasoning Agents

UptimeAI’s reasoning agents unlock operational potential by eliminating decision latency and scaling institutional expertise. By connecting cross-functional data and applying goal-oriented reasoning, the system delivers optimal decisions that tackle the most expert intensive problems in organizations to improve reliability, efficiency, and protect margins across your entire enterprise. Transforming the complex decision-making processes that need to happen in operations, and which used to typically take months or years, into minutes or hours is no trivial task. Here's how we do it: 1. It starts with your existing data infrastructure and toolsets. UptimeAI doesn't attempt to change anything here, but rather works within and integrates into your existing technology portfolio. 2. We build an outcome-oriented knowledge graph, that is really the starting point for how the agents work. This knowledge graph connects all of your existing information and institutional knowledge together in a way that accurately captures how it all relates to one another. 3. On top of the knowledge graph we build in domain skills. Making high risk, high reward decisions in operations can't be done without the right expertise. It's answering questions like, "what does this failure mode mean in the context of how my plant is currently operating?" These are the skills that an expert brings to the table. 4. The reasoning agents serve as the orchestration layer, connecting the right combination of skills and the right sets of data to solve the specific problem they’ve been designed to do with expert-level capability. The agent makes the optimal decision, then brings that to the operator or the engineer, with the full traceability and explainability of how it got to that conclusion, so all the person needs to do is act.

Average Rating: 4.5/5.0

Total Reviews: 10

Anomalo

Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity.

Average Rating: 4.4/5.0

Total Reviews: 44

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 204

QEval

QEval is a contact center quality assurance platform that evaluates customer interactions across voice, chat, and email channels. The software combines manual quality monitoring workflows with AI powered speech analytics to score interactions, detect compliance violations, and analyze customer sentiment. The platform enables quality teams to build customizable evaluation scorecards, monitor agent performance in real time, and connect evaluation results directly to coaching assignments. Supervisors can track coaching completion, measure behavioral changes over time, and maintain libraries of reference interactions demonstrating effective techniques. QEval Speech, the analytics module, processes customer interactions to surface patterns in agent behavior, customer sentiment, and process adherence. The system flags compliance risks, identifies coaching opportunities, and generates automated quality scores. This reduces manual evaluation workload while expanding coverage beyond traditional sample based QA approaches. Reporting capabilities include pre built reports, customizable dashboards, and trend analysis tools. Dashboards display KPIs at organizational, campaign, team, and agent levels. Reports can be filtered by date range, scorecard category, or custom parameters. The platform integrates with existing telephony systems, CRMs, call recording platforms, and workforce management tools via API, SFTP, and cloud storage connections. This allows deployment within established technology stacks without requiring platform replacement. QEval supports compliance monitoring for regulated industries including healthcare, financial services, and telecommunications. Role based access controls and recording encryption address data security requirements. All interactions are logged and retained to support audit documentation. QEval is developed by Etech Global Services, a contact center services provider operating since 2003. The platform is available as cloud hosted SaaS with a 30 day free trial for qualified organizations.

Average Rating: 4.9/5.0

Total Reviews: 6

DataLens

DataLens is a 360° AI based data intelligence platform that leverages AI to analyze data from disparate sources and generate detailed reports with illustrative visualizations. The platform can analyze vast datasets instantly and provide insightful AI-assisted suggestions and actionable recommendations that could reveal potential revenue-generating opportunities and data blind spots. Unlike legacy data analytics platforms and manual data interpretation, which take a tremendous amount of time and manual effort, DataLens instantly analyzes the datasets and generates comprehensive reports without risking data loss or compromising on data quality. DataLens makes information retrieval seamless by helping users interact directly with their data and retrieve required data points as and when necessary, with prompts in natural language. DataLens ensures end-to-end data security and privacy at rest as the platform does not store data anywhere, and organizations or individuals can choose to delete their data in their own time. This best data intelligence platform also supports users sharing their data with others and assigning their access levels, making it the perfect data intelligence platform for teams of all sizes!

Average Rating: 5.0/5.0

Total Reviews: 1

NarraViz

NarraViz is an Agentic Decision Intelligence Platform that turns everyday business questions into clear, actionable insights, instantly. Instead of dashboards, complex tools, or technical workflows, users simply describe what they want to understand. NarraViz interprets the intent, analyzes the data, and delivers visualizations, explanations, and recommendations automatically. Built for speed, clarity, and accessibility, NarraViz gives every team - from operations to marketing to finance - a way to make confident, data-driven decisions without needing deep analytics expertise.

Average Rating: 5.0/5.0

Total Reviews: 1

Supaboard

Supaboard delivers enterprise-grade AI data analysts purpose-built to understand the complexity of your business: your data models, metrics definitions, organizational structure, and decision-making workflows. Rather than relying on traditional BI tools that require dedicated analyst teams to operationalize, Supaboard's trainable domain-specific agents continuously monitor activity across your data estate, proactively surface material changes in performance, diagnose root causes with full analytical context, and recommend the next-best action aligned to your strategic priorities. Built to integrate with your existing data infrastructure across 600+ sources and designed for governance, security, and scale, Supaboard enables leaders across finance, operations, product, and revenue functions to move from reactive reporting to proactive, data-driven decisioning—shortening the path from question to insight to outcome.

Average Rating: 4.8/5.0

Total Reviews: 3

Trackingplan

The industry is automating the production of answers without fixing the data underneath, but an agent can't reliably operate a system it can't observe. Trackingplan is the AI agent for Digital Analytics & Performance that, unlike AIs built to answer, is built to know what’s actually happening before confidently giving you a response. It sits where the truth of a number is decided — the hit, the dataLayer, the pixel, the CAPI payload, the consent state, the GTM release. So when you ask why conversions dropped on Tuesday, it can tell you the purchase event was renamed in a release instead of confidently making up a story about seasonality. How it works • Install: One tag, SDK, or server-side hook. Events appear as traffic flows. • Learn: Trackingplan learns your events, names, patterns, and baselines from live traffic. No tables to expose. No semantic layer to build. • Monitor: Anomalies, missing properties, duplicate or broken triggers, attribution issues, PII leaks, consent problems — caught as they happen and routed to the team that owns them, with the context to act. • Automate: Describe a report, rule, or alert in plain English once. Trackingplan keeps it running, with narrative, charts, and evidence delivered to Slack, Teams, email, Jira, a webhook, or Claude via MCP. Built for • Paid media & performance teams: Protect ad spend from broken conversions, UTMs, and CAPI double-counting. • Digital analytics teams: Know when a release breaks your data before it breaks your reporting. • Compliance & legal: Catch PII leaks, Consent Mode misfires, and undeclared cookies at the point they happen. • Agencies & consultancies: Give every client an always-on digital analyst without adding another person to the account. Trusted by teams at El Corte Inglés, ISDIN, Cofidis, Schneider Electric, RIU, Baleària, Euronics, Dentsu, Havas, and Making Science. Truth is non-negotiable. Book a demo at trackingplan.com.

Average Rating: 4.9/5.0

Total Reviews: 14

Veezoo

Veezoo is an Agentic Analytics platform engineered for trust and reliability, purpose-built to empower every business user — regardless of technical background — to ask questions about their data and receive accurate, governed, and auditable answers. Founded in 2016 as a spin-off from ETH Zurich, Veezoo has been building AI-native analytics long before large language models became mainstream, combining Agentic AI with a proprietary Knowledge Graph architecture. At the core of Veezoo is the Knowledge Graph: a semantic layer that captures a company's business ontology, KPI definitions, metrics, governance rules, and authorization logic. Unlike conventional AI analytics tools that allow language models to write SQL directly — leading to hallucinated metrics and inconsistent results — Veezoo's AI translates every natural language question into Veezoo Query Language (VQL), which is then compiled to SQL through a deterministic, rule-based process. This means the AI never touches raw database tables, business logic is always applied consistently, and every result is fully traceable and auditable. Business users interact with Veezoo through a conversational chat interface, asking questions in plain language and receiving instant, verified answers with charts, tables, and dashboards. Veezoo interprets the data, suggests next steps, and summarizes key insights. Monitoring agents can investigate anomalies and alert teams when something requires action. Every chart title, filter, and label is rendered directly from VQL — not generated by an AI — so users can verify exactly what the data shows and hover over any term to see its governed definition. For data teams, Veezoo provides a Knowledge Graph IDE for modeling semantic layers from scratch using AI, leveraging existing documentation. The platform supports version control, BI-as-Code workflows, development branches, and automated tests — following best practices of modern analytics engineering. The Knowledge Graph lives in Git, making it versioned, reviewable, and auditable without vendor lock-in. Veezoo integrates natively with 17+ databases and data warehouses including Snowflake, Google BigQuery, Databricks, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SAP HANA, and more. It also integrates with dbt Cloud to import models, metrics, and documentation, and delivers scheduled results and alerts directly to Slack and Microsoft Teams. An MCP server allows other AI tools such as Claude, ChatGPT, and Gemini to query the governed Knowledge Graph, and a public REST API enables custom integrations, embedded analytics, and CI/CD automation. Veezoo supports embedded analytics, allowing organizations to integrate the conversational analytics experience directly into their own applications in multi-tenant environments. The platform also features customizable branding, collaborative dashboards, and export capabilities to PDF, PNG, JPEG, SVG, and Excel. Recognized as a 2024 Gartner Cool Vendor in AI Models and Natural Language Technologies, Veezoo is trusted by thousands of users at companies including AXA, Bayer, Baloise, Breitling, Valora, and Air Up. The platform is headquartered in Zurich, Switzerland, and serves organizations ranging from innovative startups to Fortune 500 enterprises across industries including insurance, retail, consumer goods, and financial services.

Average Rating: 5.0/5.0

Total Reviews: 1

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