Write, analyse, code
- Long-context chat and document analysis
- Code generation and review
- Structured output and function calling
GenFlex Ai is a single workspace for text, image and video models — one login, one pool of tokens, no separate subscriptions and no API keys to wire together. You pick the outcome; the orchestration layer picks the model.
Every provider ships its own request schema, its own parameter names, its own failure modes and its own billing unit. That mismatch is the reason "just use them all" is a backend problem, not a checkbox. It is also the part we build.
One request shape in. Prompts, seeds, resolutions, safety settings and streaming formats are translated per provider, so switching models never means rewriting a workflow.
Each job is matched to a model by what it actually needs — quality, latency, cost or context length — with automatic failover when a provider degrades, rate-limits or goes dark overnight.
Every provider's pricing unit is converted into one token currency and charged against one balance, so a video render and a long chat draw from the same wallet.
Model line-up is added and rotated continuously — the interface stays the same when it changes.
No stacked monthly plans you forget to cancel. Tokens sit in one balance and are spent wherever the work happens — a paragraph, a poster or a six-second clip.
Orchestration layer and token metering running against the first model set, with a small internal group generating every day.
Waitlist invitations go out in batches, oldest signups first, with starting balances to test real workloads.
Open sign-up, full model line-up across four lanes, and founding-member bonuses credited to every waitlist account.
Invitations go out in order. Join now and you're near the front when the beta opens in September.