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Meshia

Research Workspace for Recursive Self Improvement

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.

The ultimate place for discovery.

ResearchBench

Tests the model's ability to recreate and further improve recent research papers across a breadth of domains.
Meshia
82%
CodexUsing Astra, Extra High
63%
Claude CodeUsing Fable, Max Thinking
54%

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.

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Scale Intelligence

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.

One workspace for research

Provider Agnostic

Workspace Started4x RTX 4090
Workspace Resumed4x RTX 4090

Connectors

Massive Agent Orchestration

Mix and Match Compute

2x TPU v5GCP
8x A10GsModal

Generative UI Workspace

Inspectable Artifacts

Stability scan
RFdiffusion sweep
Binder scoring
Reproduce pack
Wetlab handoff

Autoscale

0 GPUs

Interplay

A file system for research

Keep weights, artifacts, and context together, so progress continues across workspaces and teammates.

Find the weights from Alex's top performing experiment, then run DPO on it.

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.

RTX A5000
24 GB$0.18/hr
RTX 3090
24 GB$0.25/hr
RTX 4090
24 GB$0.39/hr
A10G
24 GB$1.15/hr
RTX 2000 Ada
16 GB$0.28/hr
T4 16GB
16 GB$0.40/hr
P100 16GB
16 GB$0.92/hr
P4 8GB
8 GB$0.23/hr
RTX A5000
24 GB$0.18/hr
Interactive. Cost-efficient 24 GB workhorse for adapters, embeddings, and cheap parallel experiments.
TPU v3
32 GB$2.30/hr
Legacy. Legacy high-memory Cloud TPU training and compatibility workloads.
A100 PCIe 80GB
80 GB$1.37/hr
Core. Reliable 80 GB CUDA compatibility for fine-tunes, baselines, and memory-bound inference.
P4 8GB
8 GB$0.23/hr
Interactive. Ultra-low cost legacy GPU for light inference and tiny CUDA validation tests.
RTX 6000 Ada
48 GB$0.85/hr
Interactive. Ada 48 GB headroom for vision models, rendering-adjacent ML, and interactive inference.
H100 NVL 94GB
94 GB$2.98/hr
Core. High-throughput Hopper runs with extra memory for large inference, RL, and model-parallel branches.
A10G
24 GB$1.15/hr
Interactive. Cloud data-center GPU for inference, rendering-adjacent ML, and moderate CUDA training.
L4 24GB
24 GB$0.55/hr
Interactive. Efficient mid-tier Ada Lovelace architecture for inference, video encoding, and lightweight training.
H100 SXM 80GB
80 GB$3.09/hr
Core. General training, RL, adapter sweeps, simulation, and batch inference.
V100 16GB
16 GB$1.32/hr
Interactive. Legacy Volta-class GPU for general-purpose deep learning and scientific computing.
A100 SXM 80GB
80 GB$1.60/hr
Core. Stable fine-tunes, baseline comparisons, and repeatable ablations.
RTX PRO 6000 96GB
96 GB$1.94/hr
Frontier. Blackwell memory headroom for high-resolution vision, large adapters, and heavy inference batches.

Pricing

FAQ

Free includes a one-time $10 credit; add a card to keep going pay-as-you-go. Pro includes $500 of usage each month. Plan storage allowances are included; storage above the allowance is $0.08/GB/month. GPU, agent and storage usage above your plan's included amount is billed at the listed metered rates.

Direct massive compute towards a single objective