ABOUT VEIL

Built by a researcher,
for researchers.

Veil is AI infrastructure for researchers who want to train models, synthesize papers, and ship science faster — without stitching together five different tools every single time.

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VP
Vibhor Pandey
Founder & Builder

I got frustrated. Every research project meant the same drill — spin up a Colab notebook, pull papers from Papers With Code, upload checkpoints to Hugging Face, set up W&B logging, then start the actual work. Half the day gone before writing a single line of science.

Veil is the platform I wished existed: a single place where the literature, the training loop, the evaluation harness, and the write-up all talk to each other — driven by AI that actually understands what a researcher needs.

WHAT VEIL IS ABOUT

The research platform that
stays out of your way.

One unified workspace

Stop juggling Colab, Papers With Code, and Hugging Face. Veil pulls training, literature, and writing into a single flow.

Four specialized AI modes

Research, Biology, Flywheel, and Write — each tuned for the exact task at hand, not a generic chat box.

Your compute, your credentials

Bring your own API keys and GPU budget. Veil orchestrates the infra without locking you into proprietary hardware.

THE FOUR MODES

Purpose-built for every research task.

Research

Literature synthesis, hypothesis framing, GPU training orchestration, and manuscript drafting — all connected.

Paper searchCitation graphTraining runsLaTeX export
Biology

Protein design, genomics pipelines, pathway analysis, and biomedical reasoning with domain-aware context.

AlphaFoldESM3Pathway DBGenomics
Flywheel

Auto fine-tuning loops, evaluation harnesses, and compounding model improvements — close the feedback loop automatically.

LoRA / QLoRAEval harnessW&B loggingAuto-iterate
Write

Verified citations, clean LaTeX generation, and camera-ready formatting for NeurIPS, ICML, and beyond.

Verified citesLaTeX outputCamera-readyCo-authoring

WHAT WE'RE BUILDING

The roadmap ahead.

We ship fast. These are the next things coming out of the lab.

Real-time agent runtimeIN PROGRESS

Persistent background agents that run experiments, poll results, and surface findings while you sleep.

GPU fine-tuning at ₹12/hrIN PROGRESS

Kick off LoRA and full fine-tuning runs directly from the dashboard — no DevOps, no SSH.

Multi-agent research pipelinesPLANNED

Chain specialized agents: one reads papers, one writes code, one runs evals — all coordinated.

Biology mode + AlphaFold integrationPLANNED

Protein structure queries, pathway analysis, and genomics reasoning with AlphaFold3 and ESM3 in the loop.

Evaluations harnessPLANNED

Automated benchmark runs with custom metrics, model comparisons, and versioned result tracking.

Ready to try it?

The dashboard is live. Four modes, four models, GPU compute — all in one place. One free message per model to start.