Internal Tools & Automations
Automate your internal processes with AI
Standardize internal automations on one API to run 150+ open & vendor models with smart routing by latency, price, region—and instant failover. It’s vendor-agnostic and pay-per-token so teams move fast without lock-in.
Teams automate internal processes with ShareAI
Product, Ops, and Engineering standardize on one API to 150+ models with smart routing, instant failover, and pay-per-token control.
WHAT YOU’LL GET
Bring all your internal automations under one API
Unify summarization, classification, extraction, and embeddings across providers—policy-based routing keeps things reliable and cost-efficient.
One API, many providers
Access 150+ models through a single integration—no rewrites, no vendor lock-in.
Reliability built in
Traffic is auto-routed by latency, price, region, and model; if a provider degrades, failover is instant.
Cost control that scales
Pay-per-token economics plus routing policies let ops pick cheapest for batch, fastest for interactive.
Region & policy controls
Route by region to meet performance and data-location needs while staying vendor-agnostic.
BYOI to offset costs
Enroll your infra as a provider—idle-time bursts or always-on—via Windows, Ubuntu, macOS, or Docker; earn tokens you can spend later.
Fair, people-powered economics
70% of spend flows to the GPUs that keep your automations online, aligning incentives across the network.
Start fast, iterate faster
Playground to test, Console for usage/keys, and clear API docs—get something live quickly and improve from there.
Transparent marketplace
Compare price, availability, latency, uptime, and provider type to choose what’s best for each workflow.
FAQ
What Teams Ask Before They Automate
Straight answers on integration, reliability, cost, and compliance so you can automate with confidence.
How do we integrate ShareAI into our internal tools?
Call a single REST endpoint and start with the model you want; policies can switch providers later—no rewrites needed.
What happens during provider slowdowns or outages?
The network auto-selects the best provider by latency, price, region, and model; if one degrades, traffic fails over instantly to keep workflows online.
How do we control and forecast AI costs?
It’s pay-per-token. Use routing policies to favor cheapest for batch jobs or fastest for interactive flows.
Are we locked into a single vendor or model?
No. ShareAI is vendor-agnostic—swap models or providers via policy without refactoring your internal tools.
Can we meet data residency or regional performance needs?
Yes—route by region to meet locality requirements while keeping the flexibility of a multi-provider stack.
Can we bring our own infrastructure to reduce net cost?
Yes. Enroll as a provider in idle-time bursts or always-on; onboard via Windows, Ubuntu, macOS, or Docker and earn tokens (or revenue).
What makes the economics different?
The network is people-powered—70% of every dollar returns to the GPUs serving your requests, incentivizing resilience.
How quickly can we start?
Use the Playground to test, generate keys in the Console, and ship against one REST endpoint—then iterate via policies.