Lucidstensor is the enterprise ML training platform that compresses months of model development into days. Distributed training, automated hyperparameter tuning, and one-click deployment — built for serious ML engineers.
Trusted by ML teams at leading companies
From experimental prototypes to billion-parameter production models, Lucidstensor handles every stage of the ML lifecycle with precision and speed.
Scale training across thousands of GPUs with our fault-tolerant distributed training engine. Supports data parallelism, model parallelism, and pipeline parallelism out of the box.
Multi-GPU · Multi-NodeOur Bayesian optimization engine explores your hyperparameter space intelligently, finding optimal configurations 5× faster than grid search with 40% lower compute cost.
Bayesian · AutoMLMonitor every metric, gradient, and artifact in real time. Compare thousands of experiments side-by-side, visualize loss curves, and reproduce any run with a single command.
MLflow CompatibleReduce model size by up to 90% with quantization, pruning, and knowledge distillation — without sacrificing accuracy. Deploy leaner models to edge or cloud in minutes.
INT4 · INT8 · FP16SOC 2 Type II certified. Your data and models never leave your VPC. Supports SSO, RBAC, audit logs, and full GDPR/HIPAA compliance for regulated industries.
SOC 2 · HIPAA · GDPRFirst-class support for PyTorch, JAX, TensorFlow, and Hugging Face Transformers. Zero-config integration — just wrap your existing training script and go.
PyTorch · JAX · HuggingFaceDynamically provision and release GPU clusters. Spot instance integration cuts compute costs by up to 70%. Automatic checkpointing ensures no work is lost on preemption.
Spot Instances · Auto-scalingCentralized model registry with full version control, lineage tracking, and automated CI/CD pipelines. Promote models from staging to production with one-click approval workflows.
CI/CD · Lineage TrackingNo infrastructure headaches. No DevOps rabbit holes. Just fast, reproducible model training that scales with your ambitions.
Install our lightweight SDK (pip install lucidstensor) and wrap your existing training script. No rewrites required.
Define compute resources, hyperparameter search spaces, and experiment configs via YAML or our visual dashboard. Launch with a single command.
Our engine automatically distributes your workload, manages checkpointing, and surfaces real-time metrics as your model trains across your cluster.
Register your best model, run automated evaluations, and deploy to any cloud or on-prem environment with built-in A/B testing and performance monitoring.
Founded in 2021, Lucidstensor was born out of frustration with fragmented, overcomplicated ML tooling. Our team of former Google Brain, DeepMind, and OpenAI researchers built the platform they always wished existed — one that treats ML engineers as first-class citizens.
CEO & Co-Founder
Ex-Google Brain
CTO & Co-Founder
Ex-DeepMind
VP Engineering
Ex-OpenAI
We started Lucidstensor because we spent more time fighting infrastructure than doing actual ML research. We fixed that — for everyone.
— Arjun Kapoor, CEO
Don't take our word for it. Here's what production ML engineers say about training with Lucidstensor.
"We cut our LLM fine-tuning time from 3 weeks to 4 days using Lucidstensor's distributed training. The automated hyperparameter search alone saved us $180K in compute last quarter. It's become the backbone of our entire ML infrastructure."
"The model registry and CI/CD integration transformed how our team ships models. We went from ad-hoc deployments to a rigorous, reproducible pipeline in two weeks. Our production incident rate dropped by 80%. Absolutely game-changing tooling."
"As a regulated financial firm, security was our #1 concern. Lucidstensor's VPC deployment, audit logs, and SOC 2 certification gave our compliance team full confidence. We've now trained 40+ production models without a single security incident."
Everything you need to know about Lucidstensor. Can't find your answer? Contact our team.
Lucidstensor natively supports PyTorch (1.12+), JAX/Flax, TensorFlow 2.x, and Hugging Face Transformers. On the hardware side, we support NVIDIA A100, H100, V100, A10G GPUs, AMD MI250, and Google TPU v3/v4 pods. We also support multi-cloud deployments across AWS, GCP, Azure, and on-premises clusters via our Kubernetes operator.
Pricing is fully transparent. The platform fee covers all Lucidstensor features — there are no surprise charges for features, API calls, or seats. Compute costs are billed separately at cloud provider rates (we pass through at cost with no markup). Enterprise customers can bring their own cloud accounts (BYOC) to use their committed spend and reserved instances. We publish a full pricing breakdown in our docs.
Your data and model weights never leave your environment. Lucidstensor can be deployed entirely within your VPC (Virtual Private Cloud) with no data egress. We are SOC 2 Type II certified, ISO 27001 certified, and HIPAA-compliant. All communication is encrypted in transit (TLS 1.3) and at rest (AES-256). We support SSO (SAML 2.0, OIDC), RBAC, and full audit logging. Our security whitepaper is available on request.
Yes. We provide migration tooling and dedicated support for moving from Weights & Biases, MLflow, Comet, Neptune, and SageMaker. Our import CLI can ingest existing experiment metadata, model artifacts, and training histories. For Enterprise customers, we offer a white-glove migration service at no additional cost, including data validation and pipeline reconstruction by our ML platform engineers.
All paid plans include email support with a 24-hour SLA. Growth plans add live chat with 4-hour SLA during business hours. Enterprise plans include a dedicated Customer Success Engineer, 1-hour critical incident SLA, quarterly business reviews, and direct access to our engineering team via Slack Connect. We also maintain extensive documentation, tutorials, and a community forum with 12,000+ active members.
Yes — we offer a full-featured 14-day free trial with no credit card required. The trial includes access to all platform features, $200 in free GPU compute credits, up to 5 concurrent training runs, full experiment tracking and model registry access, and email support. After the trial, you can continue on our free Starter tier (limited to 2 runs/month) or upgrade to a paid plan. No features are locked behind paywalls during the trial.
Unlike SageMaker and Vertex AI, Lucidstensor is cloud-agnostic and designed specifically for training workloads rather than serving as a general-purpose cloud ML service. We offer 3–5× faster job startup times, a significantly better developer experience with our SDK and CLI, and no vendor lock-in. Our distributed training engine outperforms both platforms on large model training benchmarks. We also provide much deeper experiment tracking, model comparison, and hyperparameter optimization capabilities out of the box.
Start free, scale as you grow. No hidden fees, no surprise bills. All plans include a 14-day free trial.
Whether you're evaluating Lucidstensor, need a custom enterprise quote, or just want to geek out about distributed training — our team is ready to help.
We typically respond within 4 business hours.
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Effective Date: January 1, 2024 | Last Updated: October 15, 2024
Lucidstensor Inc. ("Lucidstensor," "we," "us," or "our"), located at 535 Mission Street, Floor 14, San Francisco, CA 94105, operates the website lucidstensor.com and the Lucidstensor AI model training platform. This Privacy Policy explains how we collect, use, disclose, and safeguard your personal information when you use our services. This policy applies to all users globally, including residents of the European Economic Area (EEA), United Kingdom, and California, and is designed to comply with the General Data Protection Regulation (GDPR), UK GDPR, and California Consumer Privacy Act (CCPA/CPRA).
We collect information you provide directly (account registration data, contact form submissions, billing information, and support communications), information generated through your use of our platform (training job metadata, experiment logs, usage metrics, and API call records), and information collected automatically (IP address, browser type, device identifiers, cookie data, and referring URLs). We do not access or process the content of your training datasets or model weights unless explicitly requested for support purposes.
We use collected information to: provide, maintain, and improve our platform services; process transactions and send billing communications; send product updates, security alerts, and administrative messages; respond to support requests; analyze usage patterns to optimize performance; enforce our Terms of Service; and comply with legal obligations. We do not sell your personal information to third parties.
For EEA and UK users, we process personal data under the following legal bases: contractual necessity (fulfilling our service agreement); legitimate interests (improving our services, fraud prevention, and security); consent (marketing communications and non-essential cookies); and legal obligation (compliance with applicable laws).
We share data with: cloud infrastructure providers (AWS, GCP, Azure) under data processing agreements; payment processors (Stripe) for billing; analytics providers (aggregated, anonymized data only); and law enforcement when legally required. All third-party processors are bound by GDPR-compliant data processing agreements.
Depending on your jurisdiction, you have the right to: access, correct, or delete your personal data; data portability; withdraw consent at any time; opt out of sale of personal information (California residents); and lodge a complaint with a supervisory authority. To exercise these rights, contact [email protected].
We retain personal data for as long as necessary to fulfill the purposes outlined in this policy or as required by law. Account data is deleted within 90 days of account closure. We implement AES-256 encryption at rest, TLS 1.3 in transit, SOC 2 Type II controls, and regular penetration testing to protect your data.
We use strictly necessary, functional, and analytics cookies. You can manage cookie preferences via our cookie banner or browser settings. See our full Cookie Policy at lucidstensor.com/cookies.
Privacy inquiries: [email protected] | DPO: [email protected] | +1 (415) 802-7340
Effective Date: January 1, 2024 | Last Updated: October 15, 2024
By accessing or using the Lucidstensor platform ("Service") operated by Lucidstensor Inc. ("Company"), you agree to be bound by these Terms of Service ("Terms"). If you do not agree, you may not use the Service. These Terms constitute a legally binding agreement between you and Lucidstensor Inc.
Lucidstensor provides a cloud-based AI model training platform including distributed training infrastructure, experiment tracking, hyperparameter optimization, model registry, and deployment tooling. Features vary by subscription tier. We reserve the right to modify, suspend, or discontinue any feature with 30 days' notice for paid plans.
You must provide accurate, current, and complete information during registration. You are responsible for maintaining the confidentiality of your credentials and for all activities under your account. You must notify us immediately at [email protected] of any unauthorized access.
You agree not to use the Service to: train models intended to generate illegal content, CSAM, or material designed to facilitate harm; circumvent security measures; engage in unauthorized access to third-party systems; violate any applicable laws or regulations; or resell access without written authorization. Violation may result in immediate account termination without refund.
Paid subscriptions are billed monthly or annually in advance. Compute usage is billed in arrears based on actual consumption. Refunds are available within 14 days of initial subscription purchase if the Service does not perform as documented. Annual plan refunds are prorated after the 14-day period. We reserve the right to modify pricing with 60 days' notice.
You retain all ownership rights to your training data, model weights, and outputs. You grant Lucidstensor a limited license to process your data solely to provide the Service. Lucidstensor retains all rights to the platform software, APIs, documentation, and underlying technology. You may not reverse-engineer, decompile, or create derivative works of our platform.
We commit to 99.99% monthly uptime for paid plans. Downtime credits are issued as service credits (not cash) at 10% of monthly fees per hour of excess downtime, up to 30% monthly. Scheduled maintenance windows are excluded. Credits must be requested within 30 days of the incident.
TO THE MAXIMUM EXTENT PERMITTED BY LAW, LUCIDSTENSOR SHALL NOT BE LIABLE FOR INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR PUNITIVE DAMAGES. OUR TOTAL LIABILITY SHALL NOT EXCEED THE FEES PAID BY YOU IN THE 12 MONTHS PRECEDING THE CLAIM.
These Terms are governed by the laws of the State of California, USA. Disputes shall be resolved by binding arbitration in San Francisco, CA, except for injunctive relief claims. You waive the right to participate in class action lawsuits.
Legal inquiries: [email protected] | Lucidstensor Inc., 535 Mission St., Floor 14, San Francisco, CA 94105