Bring the AI providers you already use. Connect one API endpoint. Tokpad is designed to find lower-cost model routes while keeping your quality requirements and data policies in control.
Early-access concept. Savings, provider coverage and regional deployments require pilot verification.
Choose providers and add your API keys securely.
Your app keeps using a familiar API format.
TOKPAD_ENDPOINTModel selection, cost visibility, and location policies in one managed layer.
Strict UAE-only mode is intended to block unapproved external routes. Available only with verified local inference and processing.
Everything you need to start optimizing AI traffic, without running gateway infrastructure yourself.
Paying for great AI should not mean paying premium rates on every request—or becoming an expert in gateway infrastructure.
Simple classification, summarization and complex decisions flow through the same premium tier—with limited visibility into avoidable spend.
Evaluate candidates against your data policies, quality bar and real costs. Route eligible workloads without blindly compromising outcomes.
*After workload-specific testing. Final choices depend on required quality, latency, location and provider availability.
The onboarding experience we are building: no self-hosting Bifrost, no long rules engine to configure, and no model-by-model integration work.
Set up your workspace and choose the default goal: balanced savings, quality first, or region restricted.
Choose your supported providers and enter API keys. You stay in control of your provider accounts and costs.
Point compatible applications to Tokpad's endpoint. Existing advanced SDK features require compatibility testing.
Tokpad aims to recommend eligible routes, measure cost and quality, and enforce approved location policies.
Target onboarding for the MVP—not an available production signup flow. Some workloads need benchmarking and security review before switching.
Designed to take complicated routing and provider choices off your team’s plate—not add another system to maintain.
Discover lower-cost eligible models and compare their real performance against your existing workflows.
Use one compatible API endpoint while Tokpad evaluates routing options in the background. No gateway hosting required by customers.
Measure whether a cheaper route is actually useful—not simply cheaper per input token.
Define where prompts, documents and intellectual property may be processed. Restrict routes to approved UAE endpoints once independently verified.
Explore the economics with transparent assumptions. These are illustrative inputs—not customer results or promised savings.
Adjust your usage profile to estimate a range of potential outcomes.
Compared with keeping the same work on your current baseline.
Try an example workload and switch policies. The demo simulates routing decisions locally—it does not call live AI models.
A lower-cost option may handle this task after a quality test.
No inference call was made.
Your prompts, customer records, documents and intellectual property can be sensitive. Tokpad is designed to enforce where that information is allowed to go—without making your team configure every route manually.
Important distinction: a UAE-based gateway alone cannot guarantee that data stays in the UAE. A verifiable UAE-only promise requires local inference, logs, observability, retries, storage and subprocessors—with fail-closed behavior.
Explore deployment options ↗Choose the desired region policy. Tokpad is designed to manage the underlying provider and model restrictions.
Target MVP controlSee which model was chosen, what it cost, and whether a route was blocked for security or residency.
Target MVP capabilityOnly market this as in-country processing after all model execution, logging, telemetry and failover destinations are verified.
Future / subject to validationA useful cost optimization platform should make trade-offs, limitations and responsibilities obvious.
No. Savings depend on your workload mix, model prices, output lengths, quality thresholds, retries and added infrastructure overhead. We propose to validate results using a representative benchmark before routing production traffic.
Not by default. UAE-hosted controls are different from UAE-hosted inference. A strict local route requires verified in-country inference and processing endpoints; disallowed fallbacks must fail closed.
The proposed onboarding is: create an account, select providers, add API keys and point compatible applications to one Tokpad endpoint. We handle routing policies and monitoring. Some workloads will still need benchmarking, data policy choices and feature-compatibility tests.
The MVP will test a limited set of approved model endpoints through an open-source gateway. Exact models and deployment regions will be confirmed per pilot, not promised in advance.
The current on-page calculator and routing simulator run in your browser and do not send prompts to a server. Any future production telemetry, retention and data-processing arrangement will be specified before a pilot begins.
Already spending on AI APIs? Tell us what you use. We are building a low-configuration optimization service with UAE-first policy options and looking for design partners.
What to expect: a conversation about eligible workloads, a secure benchmark plan and the evidence required before a live pilot.