The Best Zerve Alternatives in 2026

Teams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.

Enables data-driven, interactive data analytics and collaborative documents.

TextQL organizes business logic into a data ontology for answering questions across company analytics.

Hex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.

Flexor prepares and retrieves unstructured data as context for AI agents, workflows, and enterprise decisions.

Apache Spark is a unified engine for large-scale data processing and analytics.

Cekura tests voice agents before launch and monitors production conversations for instruction-following, tool calls, and response quality.

Count presents a collaborative canvas for deep research and analytics, with a focus on showing the work behind each answer.

Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.

ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.

agent-learning-kit provides an evaluation and simulation environment for AI-related workflows.

MapLight offers data series about federal campaign finance and bills in Congress, for research and media organizations.

Rivestack provides managed PostgreSQL with pgvector on NVMe for AI vector search.

Athina provides a collaborative development platform for building, testing, and monitoring AI features with a team.

MyLens creates narrated, visual presentations from documents, sources, and ideas using AI agents.

BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.

Kaggle Benchmarks lets users build, run, and share evaluations of AI models and agents.

Kadoa builds and maintains web data pipelines that produce verified datasets for finance.

Fiddler provides evaluation, monitoring, enforcement, governance, and cost controls for enterprise AI agents.

AgentOps provides tools to trace, debug, and deploy AI agents, with a Python package and engineering resources.

InterLock proxies AI agent requests to databases, files, and APIs, applying policies, redacting fields, and auditing activity.

vidIQ helps YouTube creators research keywords, optimize videos and find content ideas, with coaching and channel tools.

Julius analyzes data and creates presentations, dashboards, websites, images, and video in one AI workspace.

VeritasGraph combines knowledge graphs and GraphRAG for multi hop reasoning and attributed retrieval over user data.