Elastic vs Turing

Elastic — Infrastructure · Public · $10.2B mkt cap · 4 of 4 figures sourced  |  Turing — Infrastructure · Private · $2.2B valuation · 3 of 3 figures sourced

Relationship

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

Aligned comparison

FieldElasticTuring
Size$10.2B mkt cap$2.2B valuation different basis
Employees4,019—
Founded20122018 6 yrs later
StatusPublicPrivate
CategoryInfrastructureInfrastructure match
Stack layerAgent platform, Application, Model API, PlatformAgent platform, Data service
HeadquartersAmsterdam, NetherlandsSan Francisco, USA

Capability overlap

Shared · 3

Agent orchestrationEvaluation and observabilityWorkflow automation

Not verified for Turing · 6

Data analysisModel hostingModel inferenceKnowledge retrievalThreat detection and responseVector search

Recorded for Elastic. Turing’s product records say nothing either way — a missing record is not a missing capability.

Not verified for Elastic · 3

Data labellingGuardrails and safetyModel training

Recorded for Turing. Elastic’s product records say nothing either way — a missing record is not a missing capability.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Elastic

Agent platform

Elastic Agent BuilderAgent platform

A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.

Elastic WorkflowsAgent platform

An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.

Turing

Agent platform

Turing Intelligence PlatformAgent platform

An AI control plane that deploys, manages and scales enterprise AI agents across any model and any cloud, with governance and IP and sovereignty controls.

No counterpart

Elastic sells these in a stack layer with no product recorded for Turing yet — nothing on the other side to compare them against.

Application

Elastic AI SOC EngineApplication

An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.

Elastic AIOpsApplication

GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.

Elastic LLM ObservabilityApplication

Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.

Elastic SecurityApplication

Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.

Platform

Elastic AI AssistantPlatform

A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.

Model API

Elastic Inference ServiceModel API

Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.

Turing sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.

Data service

Off-the-shelf datasetsData service

A catalogue of pre-built, PhD-authored and expert-verified datasets — including CyberStrike, CompanyBench, EKWBench, SciCode and HLE++ — licensed to AI labs for reinforcement learning, benchmarking and model evaluation.

RL environmentsData service

Iterable UI and non-UI reinforcement-learning environments — including MCP server, computer-use and terminal environments — in which AI agents can be trained and evaluated on long-horizon workflows.

Turing Frontier AIData service

The training material a frontier lab runs on, sold as a service: 300+ reinforcement-learning environments, over a million curated tasks, and named benchmarks including CompanyBench, CyberStrike and Terminal-Bench 3.0, across software engineering, enterprise knowledge work and STEM.