Custom AI API Wrapper Services

Overview

What we deliver

We build custom API wrappers that sit between your product and AI providers, adding caching, routing, fallbacks, and your business logic.

Calling OpenAI, Anthropic, or open-source models directly from your product creates problems: vendor lock-in, inconsistent interfaces, no caching, no cost controls, and scattered prompt logic. We build custom AI API wrapper services that give your engineering team one clean internal API while we handle provider routing, retries, fallbacks, semantic caching, prompt templates, observability, and usage tracking behind the scenes. The wrapper becomes your AI control plane. Switching providers, A/B testing models, enforcing per-tenant budgets, and adding new capabilities happens in one place instead of across every product feature. We integrate with LiteLLM, Portkey, Helicone, and custom code depending on your stack. Each wrapper ships with OpenAPI specs, SDKs in your preferred languages, dashboards for cost and quality, and runbooks for operations. The result is a faster, cheaper, more reliable AI layer your product teams can build on confidently.

Fit Check

Built for teams like yours

Who it's for

SaaS product teams
AI-native startups
Engineering platform teams
Multi-tenant applications
Cost-conscious AI products

Pain points we solve

Scattered AI calls across the codebase
No cost or rate controls per tenant
Vendor lock-in to one provider
No caching or retry logic
Hard to swap or test new models

What's included

Capabilities

Everything we cover in this engagement.

Unified provider gateway
Semantic and exact-match caching
Multi-provider routing and fallback
Prompt template library
Per-tenant rate and cost limits
Streaming and tool-call support
Observability and analytics
SDKs and OpenAPI specs

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Audit

We map current AI usage, providers, and pain points.

02

Design

We define the wrapper API, routing rules, and policies.

03

Build

We implement the gateway, caching, and observability.

04

Migrate

We move product features onto the wrapper in stages.

05

Operate

We tune routing, costs, and alerts after launch.

What you get

Deliverables & outcomes

What you get

Wrapper API service
SDKs in target languages
OpenAPI specification
Cost and usage dashboards
Routing and fallback rules
Operations runbook

Outcomes you can expect

Lower AI provider spend
Faster response times via caching
One place to manage prompts
Quick provider swaps and A/B tests
Per-tenant cost visibility

Timeline

3 to 6 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

LiteLLM, Portkey, Helicone, Redis, OpenAPI

KPIs we track

Cache hit rate, cost per request, p95 latency, provider error rate, tokens per tenant

Client stories

What clients say

"

We had 14 cornerstone pages stuck on page two for 18 months. Their SEO crew rewrote the internal linking, cleaned up our schema, and shipped 22 supporting briefs over a quarter. Eight of those pages broke top three by month five. Organic pipeline went from a trickle to our second-largest source. Felt like watching interest compound.

James T.

"

We were paying three agencies and a lifecycle freelancer to argue over attribution. RevoraOps absorbed all of it in 30 days, killed our worst-performing Meta ad sets, and rebuilt the welcome flow from scratch. CAC dropped 31 percent in the first full month. Honestly the relief of having one weekly call instead of four was worth it alone.

Megan W.

Proof