posting velocity //
Opens vs closes per day
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
Posting timing (day/hour) is available only when there are at least 5 jobs with a real publish stamp spread across 3 distinct days. This company's source doesn't expose post times, or there isn't enough data yet — showing what we know for sure: how many jobs are open, in which domains, and at which seniority levels.
Showing: Israel. Click another pill to switch.
Open now
0
Total active openings across all sites
Δ 28-day
0
Opens minus closes in the last 28 days
Δ 90-day
0
Opens minus closes in the last 90 days
posting velocity //
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
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The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Seniority is not exposed by the source for this company.
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
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Active openings by region. Click a row to see jobs in that area.
time on market //
Median
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25th pct
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75th pct
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Based on 0 closed jobs and 0 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
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Fewer than 10 closures in the window — not enough to compute.
company intel · ai-generated
Updated 1d ago
ClearML is an open-source MLOps platform company. It was originally founded under the name Allegro AI and later rebranded to ClearML. The company is headquartered in Tel Aviv, Israel, with a presence in the United States. It is privately held; detailed funding information is not something I can confirm with confidence.
The core product is an end-to-end MLOps platform — covering experiment tracking, data versioning, pipeline orchestration, and model deployment — designed to help data science and machine learning engineering teams manage the full lifecycle of ML experiments and models.
ClearML's flagship offering is its open-source experiment management and MLOps platform, which competes in the same space as Weights & Biases, MLflow (the open-source project maintained by Databricks), and Neptune.ai. The platform tracks ML experiments, manages datasets, orchestrates training pipelines, and provides a model registry. It is used primarily by ML engineers and data scientists, with a self-serve entry point through the open-source version and an enterprise offering that adds role-based access control, on-premise deployment, and managed cloud options.
The engineering stack involves Python-native integrations with major ML frameworks. The open-source repository is publicly available on GitHub under the ClearML organization.
The primary product is the ClearML platform itself, which is available as an open-source self-hosted deployment and as ClearML Hosted (a managed SaaS version). ClearML Agent handles remote execution and experiment queuing. ClearML Data provides dataset versioning. The platform integrates with AWS, GCP, and Azure for compute and storage, and supports frameworks including PyTorch, TensorFlow, Keras, and scikit-learn.
ClearML competes most directly with Weights & Biases (a San Francisco-based company focused on experiment tracking and model management), MLflow (the open-source project under the Linux Foundation, commercially backed by Databricks), and Neptune.ai. ClearML's differentiation is its fully open-source core, which allows on-premise deployment without vendor lock-in — a meaningful distinction for enterprises with strict data-residency requirements.
ClearML's primary R&D operations are based in Tel Aviv. The founders have Israeli backgrounds, and the core engineering team is Israel-based. The company typically hires in Israel for backend engineering, ML infrastructure, and DevOps roles.
key people & leadership
2 key people, sourced from public records — with a per-row confidence score.
Meir Chaskelis
Co-Founder and CTO
Co-founder and CTO of ClearML.
leadership
Nir Bar-Lev
Co-Founder and CEO
news feed
No recent news about this company.