AI agent startups
Problem: You're shipping agents with a patchwork of OpenAI, Anthropic, and open-source models. Costs scale linearly, quality drifts silently, and an LLMOps hire is six months away. Every provider migration is manual.
Solution: Point your SDK at Floopy, pass the NPS you already collect, and let feedback-driven routing pick the right model per request. Session propagation means one user rating shapes every call in that session — no per-request labeling, no model retraining.
Session NPS propagationFeedback-driven routing50+ models available500/mo feedback on Starter
30–60%
cost reduction vs always-best
0
new instrumentation required
Start on Starter → SaaS products with AI features
Problem: AI features eat margins; you can't tell which customer cohorts actually justify them. Provider outages break your product. No way to measure the ROI of per-session quality.
Solution: Route every request to the best cost/quality model for that session. Per-agent savings views show exactly which features justify their cost. Automatic failover across 20 providers keeps the product live when vendors drop.
Per-agent cost trackingSession ROI measurementSmart selectorsRegression monitoring
100k
requests included on Pro
20
providers with auto-failover
See Pro tier → Customer-facing chatbots
Problem: Your end users already leave thumbs up/down on bot messages. But none of that feedback ever reaches the router — every model call is a fresh coin flip.
Solution: Pass the NPS or CSAT you already collect to Floopy's Feedback API with the session id. No new labeling per request, no model retraining. The router learns which model wins for your specific conversation shape and adapts within minutes.
Zero-instrumentation onboardingSession-level feedback weightingLLM firewall (LLM Firewall)Full conversation observability
Session
level signal granularity
See Pro tier → Platform & AI infra teams
Problem: Multiple product teams each shipped their own integrations. No unified cost view, no shared routing intelligence, no audit trail. Shadow AI spend keeps climbing.
Solution: Centralize every AI call through one SaaS gateway. Teams share the routing model across agents, per-agent budgets cap blast radius, and audit-log exports feed your SIEM. Shared data feeds opt-out available on Enterprise.
Team & agent budgetsPer-agent roles & accessAudit log exportsShared routing pool
Shared
routing intelligence pool
Per-agent
budgets & roles
Talk to Enterprise → Regulated / Enterprise
Problem: Healthcare, finance, and legal teams need audit trails, PII protection, data residency, and content safety — and can't feed customer prompts into a shared training signal.
Solution: Provider keys encrypted with XChaCha20-Poly1305. Automatic PII scrubbing. LLM Firewall content safety. Per-request audit trail in ClickHouse with SIEM integration. Opt-out of shared data feeds plus SSO and data-residency options.
XChaCha20-Poly1305 encryptionAutomatic PII scrubbingContent safety (LLM Firewall)SSO + data residency
Opt-out
of shared data feeds
2 years
log retention (custom on request)
Talk to Enterprise →