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Shruthan Radhakrishna

Author on ServiceNow-AI publications (most recently the October 2026 AutoSynthData post), ServiceNow

  • Author on ServiceNow-AI publications (most recently the October 2026 AutoSynthData post), ServiceNow5

Shruthan Radhakrishna is the first author of the Apriel-1.5-15B-Thinker paper from ServiceNow and is listed as a core contributor to the model, a 15-billion-parameter open-weights multimodal reasoning model. Radhakrishna is also listed among the training contributors to Apriel-1.6-15B-Thinker and as an author of the Super Apriel paper, and co-wrote ServiceNow-AI's October 2026 post on AutoSynthData, a method for generating training data for enterprise agents.12345

At a glance

Current role
Author on ServiceNow-AI publications (most recently the October 2026 AutoSynthData post)
Company
ServiceNow
Sector
Company
Work listed
2
Sources cited
8
Profile reviewed

Apriel models

Radhakrishna is first author of the Apriel-1.5-15B-Thinker paper (October 2025), which describes building a multimodal reasoning model from Pixtral-12B through depth upscaling, continual pretraining and supervised fine-tuning. The paper's contributions section lists Radhakrishna among the core contributors.12

The release post for Apriel-1.6-15B-Thinker (December 2025) lists Radhakrishna first among its training contributors, and Radhakrishna is a co-author of the Super Apriel paper (April 2026), which gives ServiceNow as the affiliation.346

Radhakrishna is listed among the contributors to the Apriel-H1 technical report (November 2025), on hybrid models obtained by distilling a 15B reasoning transformer into a mix of attention and Mamba layers.78

Enterprise agents

In October 2026 Radhakrishna co-wrote a ServiceNow-AI post introducing AutoSynthData, which generates and verifies synthetic training tasks for agents that work in enterprise systems.5

Work and contributions

  • Apriel model family Open weights

    First author of the Apriel-1.5-15B-Thinker paper and listed as a core contributor to the model.12

  • Apriel-1.6-15B-Thinker Open weights

    Listed first among the training contributors in the model's release post.3

Timeline

  1. Posted the Apriel-1.5-15B-Thinker paper as first author.1
  2. Contributed to the Apriel-H1 technical report.78
  3. Contributed to training Apriel-1.6-15B-Thinker.3
  4. Co-authored the Super Apriel paper.4
  5. Co-wrote ServiceNow-AI's AutoSynthData post on training data for enterprise agents.5

Other documented roles

Roles the sources document that are not confirmed as current.

  • Core contributor to the Apriel models (author affiliation, 2025–2026), ServiceNow26

Where they work

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References

8 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. Apriel-1.5-15b-Thinker (arXiv 2510.01141)arXiv · Paper · published Oct 1, 2025 · accessed Oct 22, 2026
  2. Apriel-1.5-15B-Thinker: Mid-training is all you need — full text, Contributions and AcknowledgmentsarXiv · Paper · published Oct 1, 2025 · accessed Oct 22, 2026
  3. Apriel-1.6-15b-Thinker: Cost-efficient Frontier Multimodal Performance (ServiceNow-AI on Hugging Face)ServiceNow-AI (Hugging Face blog) · Announcement · published Dec 9, 2025 · accessed Oct 22, 2026
  4. Super Apriel: One Checkpoint, Many Speeds (arXiv 2604.19877)arXiv · Paper · published Apr 21, 2026 · accessed Oct 22, 2026
  5. AutoSynthData: Generating Training Data for Enterprise Agents (ServiceNow-AI on Hugging Face)ServiceNow-AI (Hugging Face blog) · Announcement · published Oct 2, 2026 · accessed Oct 22, 2026
  6. Super Apriel: One Checkpoint, Many Speeds — full text (author list and affiliations)arXiv · Paper · published Apr 21, 2026 · accessed Oct 22, 2026
  7. Apriel-H1: Towards Efficient Enterprise Reasoning Models (arXiv 2511.02651)arXiv · Paper · published Nov 4, 2025 · accessed Oct 22, 2026
  8. Apriel-H1: Towards Efficient Enterprise Reasoning Models — full text, Contributions and AcknowledgmentsarXiv · Paper · published Nov 4, 2025 · accessed Oct 22, 2026