GeniusPro Lab
Our lab turns benchmarks and fine-tunes into the Simon lineup you call in production — on state-of-the-art GPUs and servers we operate.
From benchmark to simon-says-* slug · often via auto-update
Benchmark frontier and domain models — find what works for business workloads.
Fine-tune experts, orchestrators, and base models on lab hardware.
Run latency, quality, and safety harnesses before anything ships.
Release to Simon — often through auto-update slugs, no migration projects.
Our mission
Frontier models are impressive in demos. Our lab exists to turn them into slugs your product can depend on — with domain discipline, predictable latency, and upgrade paths that do not require migration projects.
We benchmark upstream providers, fine-tune experts for professional roles, and run eval harnesses before anything ships to Simon. When a model clears the bar, it lands behind a stable name — simon-says-chat, simon-says-finance, gp-auto-* — so your integration stays the same while quality improves.
The same pipeline powers voice, vision, and agent products. Research is not a separate track from production; it is how we keep the platform current without breaking customer apps.
Research focus
Lab work runs in focused tracks — each with benchmarks, training runs, and shipping criteria tied to a product surface.
Fine-tuned Simon Says slugs for finance, legal, architecture, and other professional workloads — tuned for vocabulary, reasoning style, and tool use.
Multi-step agents, CAT workflows, Tiger Mode, and Cursor-class coding agents — routing, memory, and tool loops validated before they ship.
Realtime speech, transcription, image generation, and vision understanding — benchmarked on lab GPUs and wired into Simon API routes.
Quality, latency, safety, and regression harnesses run on every candidate model — nothing ships without passing gates and audit trails.
Benchmark frontier and domain models — find what works for business workloads.
Fine-tune experts, orchestrators, and base models on lab hardware.
Run latency, quality, and safety harnesses before anything ships.
Release to Simon — often through auto-update slugs, no migration projects.
Research index
Browse Simon slugs by capability — experts, orchestrators, voice, vision, and lab hardware — so you can find the right surface fast.
Domain slugs for professional roles — finance, legal, architecture, and more. Each profession ships regular and -pro tiers.
Task routers like simon-says-chat classify prompts and pick the best upstream model per request.
Stable slug names that pick up better models behind the same API call — no quarterly migration projects.
Speech-to-text, text-to-speech, and live conversational models for Simon Voice and Einstein lab sessions.
Image understanding, generation, and fallback chains when upstream models rate-limit or fail.
Private GPU nodes and distributed agent workers connected to the same Simon API your app already calls.
Full slug list and tiers at geniuspro.io/models
Infrastructure
Training and eval run on GPUs we control — Einstein-class nodes for sensitive workloads, shared lab capacity for benchmarks, and hybrid routes into cloud providers when burst makes sense.
Dedicated GPU servers for voice experiments, fine-tunes, and private inference previews — not multi-tenant shared pools.
Route heavy jobs to your hardware or ours through the same Simon API endpoints — one integration, flexible placement.
Register workers, dispatch long-running agent jobs, and monitor runs from a single dashboard tied to production API keys.
How we ship
Every slug that reaches production follows the same rules — stable integrations, measurable quality, and clear version history.
Customers integrate once. Auto-update slugs absorb upstream improvements while request bodies and telemetry stay consistent.
We score models on professional tasks — citations, tool use, latency under load — not just academic leaderboard spots.
Every slug upgrade is versioned. Teams can audit which model served a request and roll back if a release misses the bar.
Production inference and customer data stay on infrastructure we operate in the United States unless a contract says otherwise.
Shipping now
Model releases, product updates, and research notes — the same feed as our News hub, curated for lab readers.
Call a domain slug — simon-says-finance, simon-says-lawyer, and more — without wiring your own prompts.
Jun 8, 2026
Read articleModelssimon-says-chat and gp-auto-* pick up better models behind the same name. No migration projects.
Jun 5, 2026
Read articleProductLaunch Ainslie-class experiences under your brand with workspaces, billing, and US hosting included.
Jun 2, 2026
Read articlePlatformAgent workers on Einstein-class hardware, connected to the same Simon API your app already calls.
May 28, 2026
Read articleResearchWhisper on lab GPUs for low-latency transcription, paired with Gemini Live sessions for conversational speech on hardware we operate.
May 22, 2026
Read articleResearchHow we score candidate models on professional tasks, latency under load, and regression checks before a slug upgrade ships.
May 15, 2026
Read articleResearchIDE-integrated agents need sub-second first tokens. We benchmarked routing paths that keep coding loops responsive in Cursor and Ainslie.
May 8, 2026
Read articleBuild with us
Every slug on this page is callable today through Simon API. Start with the model catalog, wire a single endpoint, and let auto-update keep you current.
