Rescue service · 2-hour SLA · NDA protected
Each LLM call takes 30 seconds to respond, and your OpenAI API bill jumped to $4,500 in two weeks. Users are abandoning your app before answers finish. We engineer streaming Server-Sent Events, semantic Redis caching, and model tiering to cut latency by 70% and costs by 60%.
Senior full-stack engineer reviews within 2 business hours · 100% bilateral NDA
Emergency triage
A senior full-stack engineer reviews your error log or repository within 2 business hours.
2-hour response SLA · Senior engineers · Bilateral NDA protected
Paste your terminal trace, error log, or GitHub repo. A senior full-stack engineer will review the root cause and send you an actionable diagnosis within 2 business hours.
What we optimize in your AI engineering pipeline:
Good fit if
AI SaaS founders, CTOs, and product engineers struggling with slow LLM response times (>10s), Vercel serverless function timeouts during streaming, and runaway token expenses.
Implementing robust Vercel AI SDK and Server-Sent Events (SSE) to deliver sub-1.2 second Time to First Token (TTFT).
Caching frequent vector and prompt completions to answer repeat questions instantly (sub-50ms) at zero LLM token cost.
Routing simple queries to ultra-fast, cheap models (e.g. Gemini Flash / Claude Haiku / GPT-4o-mini) and reserving reasoning models for complex tasks.
Reworking dense embeddings and re-ranking pipelines to pass only relevant paragraphs instead of entire 20-page documents.
We pull your repository under strict bilateral NDA, reproduce the failure locally, and identify the root cause within 2 hours.
We deploy an emergency hotfix to stop data leakage, 500 errors, or crashes so your users and demo remain safe.
Senior engineers refactor brittle state, database schemas, and API contracts to prevent regressions.
Automated test suites, complete runbook documentation, and 30 days of post-launch warranty with 100% code ownership.
Questions we hear on discovery calls—answered plainly.
By replacing blocking HTTP completions with streaming responses, optimizing system prompt token weight, and hosting API routes on edge regions geographically adjacent to model providers.
In typical SaaS applications, 30% to 50% of user queries are semantically similar. By storing embeddings of past answers in Upstash/Redis, matching queries are served in 30ms without hitting the OpenAI API, saving thousands of dollars monthly.
No. We use intelligent routing: intent classification and data extraction use fast, low-cost models ($0.15/1M tokens), while synthesis and multi-step reasoning invoke frontier models only when required.
Yes. Standard Vercel Hobby/Pro functions time out after 15 to 60 seconds if data doesn't stream. By using streaming response protocols with immediate byte handshakes, connections remain open indefinitely until completion.
Hub: ai-pipeline-performance-tuning. Explore the spokes and downloads buyers use before signing scope.
Send your error log or GitHub repo. A senior full-stack engineer will review under bilateral NDA and reply in 2 business hours.
