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Leap AI

Leap AI

AI Development
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Leap AI turns prompts into dependable services. Host popular models or bring your own; expose endpoints with streaming; and chain steps into workflows that call tools, fetch context, and post results. Fine-tune on your data when base models miss, and compare variants with evals. Budgets, keys, and logs keep costs predictable, while webhooks, queues, and vector search slot into your stack without brittle glue. Reference projects help teams onboard quickly and confidently.

Features

1

Hosted Models and Endpoints

Deploy text, chat, and image models behind stable URLs with streaming responses and retries. Version routes let you test challengers on a slice of traffic before promoting winners broadly. Response schemas keep outputs predictable for downstream code, and SDKs shorten setup across languages and frameworks. Autoscaling absorbs spikes, SLAs define expectations, and blue-green deploys promote new models safely. Schema validators catch malformed outputs early so errors never reach users.

2

Fine-Tuning and Datasets

Train focused models on examples from your product to improve tone, extraction, or formatting, and track provenance for auditability. Dataset tools manage splits so results are repeatable across runs, and checkpoints let you pause, resume, or roll back when performance dips. Metrics like accuracy, BLEU, or extractive F1 track progress, and dashboards compare runs side by side with notes. Hyperparameter presets cut dead ends for common tasks, and permissions protect sensitive samples in collaboration.

3

Workflows, Tools, and Retrieval

Create workflows that combine model calls with functions, APIs, and retrievers. Cache and fallback steps keep latency and errors in check during spikes or partial outages. Human-in-the-loop steps request approval before risky actions, while idempotency keys avoid duplicates when retries happen under load. RAG patterns blend retrieval with generation; filters restrict by tenant or tag so answers cite the right, current sources. Function outputs pass typed data cleanly to the next step in the chain.

4

Monitoring, Budgets, and Reliability

Dashboards show latency, cost, and error rates by route, model, and customer, and spending caps and alerts prevent surprises during tests. SLOs alert when p95 latency or error budgets slip, while anomaly detection flags sudden shifts in content or cost automatically. Integrations notify chat and on-call tools in real time so owners react quickly. Retries and circuit breakers protect users when providers hiccup, and regional failover keeps critical endpoints alive during incidents.

5

Security, Keys, and Integrations

Rotate keys, scope access to tenants, and redact sensitive fields before logs persist. Webhooks and queues post outcomes to apps, CRMs, or warehouses for immediate use, and IaC examples simplify deployment across environments. SSO and RBAC limit who can view prompts or logs; VPC peering isolates traffic; and redaction removes PII before storage. SOC 2 style logs capture who changed what and when, and secrets managers rotate credentials cleanly to avoid drift or exposure.

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Recomended For

Recommended for product and platform teams who need production-grade AI without building infrastructure from scratch. Leap AI stabilizes endpoints, adds control, and shortens the path from prototype to reliable feature. Ops gains observability and spend protection, while developers focus on UX and data instead of scaffolding and one-off scripts. Security teams get audit trails and redaction, while PMs get metrics tied to outcomes, not just tokens and log lines.

What it solved

LLM and image features often start as demos that break under traffic or cost too much to tune. Leap AI provides hosted models, workflows, and controls that make behavior predictable, observable, and affordable. With evals, budgets, and fallbacks in place, teams ship improvements confidently and recover gracefully when providers change or drift. Because endpoints, workflows, and evaluation live together, iteration feels controlled instead of risky or ad hoc during rapid growth.

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