Provider Agnostic
Workspace Started4x RTX 4090
Workspace Resumed4x RTX 4090
One workspace that scales to the problem.
Give Meshia a hard problem. It assembles the agents, runs the experiments, and scales the compute on its own.
Built and used by teams at
A single control pane
Plans, GPUs, visualizations, and output artifacts stay under one roof, all in your browser.
Design thermostable enzyme candidates for this reaction pocket. Generate backbones, score binders, and package the top wet-lab handoff.
Binder score vs stability
pLDDT
binder
loading structure
structureRCSB 1CRN
confidence87 pLDDT
pocket residues3, 4, 16, 26, 32, 40
binding siteresidue inspection
TTCCPSIVARSNFNVCRLPGTPEAICATYTGCIIIPGATCPGDYAN
Thr385N-cap contact
2.8 ACys496disulfide anchor
3.1 AArg1696polar clamp
2.5 AGly2691turn stabilizer
3.4 AIle3285hydrophobic wall
3.0 APro4096loop register
2.9 AThe ultimate place for discovery.
ResearchBench
Tests the model's ability to recreate and further improve recent research papers across a breadth of domains.Meshia
Claude CodeUsing Fable, Max Thinking
CodexUsing GPT-5.5, Extra High
How Meshia works
Meshia scales a problem from one agent up to swarms of thousands, all sharing memory and staying locked on the same objective.
The orchestrator indexes shared context, audits decisions, and enforces time and resource budgets so thousands of agents behave like one accountable research team.
Meshia binds scattered compute into one workspace that can expand around the run instead of forcing your team to rebuild the environment.
The provisioner optimizes placement around availability, region, and latency to maintain high-bandwidth communication between clusters across providers, turning fragmentation into one workspace.
One workspace for research
Connectors
Massive Agent Orchestration
Mix and Match Compute
2x TPU v5GCP
8x A10GsModal
Generative UI Workspace
loading structure
Inspectable Artifacts
Stability scan
RFdiffusion sweep
Binder scoring
Reproduce pack
Wetlab handoff
Autoscale
0 GPUs
Interplay
A file system for research
Your research and learnings persist. Meshia keeps weights, artifacts, and context together, so progress continues across workspaces and teammates. Never redo experiments or question what's been done.
Looking at Alex's research
Copying run_38_DPO into your workspace0%508MB/s
Compute availability
Meshia meshes compute from 17 providers around the world. Every workspace gets unmatched compute availability and resilience.
L4 24GB
Interactive$0.55/hr
Efficient mid-tier Ada Lovelace architecture for inference, video encoding, and lightweight training.
Simulation
Training
Inference
RTX A5000
Interactive$0.18/hr
Cost-efficient 24 GB workhorse for adapters, embeddings, and cheap parallel experiments.
Simulation
Training
Inference
RTX 3090
Burst$0.25/hr
Budget CUDA branch for small fine-tunes, package checks, and low-cost inference tests.
Simulation
Training
Inference
RTX 4090
Burst$0.39/hr
Many small experiments, smoke tests, and low-cost branches.
Simulation
Training
Inference
A10G
Interactive$1.15/hr
Cloud data-center GPU for inference, rendering-adjacent ML, and moderate CUDA training.
Simulation
Training
Inference
T4 16GB
Interactive$0.40/hr
Cost-effective legacy CUDA option for inference, embedding generation, and smoke tests.
Simulation
Training
Inference
P100 16GB
Interactive$0.92/hr
Legacy Pascal-class GPU for robust CUDA training and older compute workloads.
Simulation
Training
Inference
P4 8GB
Interactive$0.23/hr
Ultra-low cost legacy GPU for light inference and tiny CUDA validation tests.
Simulation
Training
Inference
Put discovery on autopilot
Which enzyme candidates survive the verifier pass?What recipe might push battery life past the plateau?Which verifier catches hallucinated citations early?What benchmark exposes the brittle policy?
How can temporal intuition live natively inside an LLM?Which agent critique improves the result?Which CRISPR edit restores the failed pathway?Where should compute branch next?
What sensor fusion change makes SLAM stable in shifting rooms?Which controller survives the sim-to-real jump?What material stack lowers thermal drift?What latent signal predicts protein stability?
Pricing
Trial
$0
- $10 in starter credits
- All GPU types, subject to availability
- 1 active session
- Full agent with 55+ tools
- 100 GB storage
Pro
$500/mo
- Up to 10 concurrent sessions*
- Priority GPU allocation
- Persistent volumes with 30-day retention
- Experiment tracking and scheduled runs
- Cross-model consensus
- Agent memory across sessions
Enterprise
Custom
- Everything in Pro
- Reserved H100 and H200 capacity
- Unlimited sessions
- SSO and team management
- Custom model deployment
- Data residency controls
FAQ
Plans cover the Meshia workspace and collaboration layer. Compute, storage, and model usage are metered from real usage so small experiments stay light and serious runs can scale cleanly.