> ## Documentation Index > Fetch the complete documentation index at: https://aiescu.com/llms.txt > Use this file to discover all available pages before exploring further. # Ship production AI for your startup in 4 weeks. > DONE FOR YOU · OUTSOURCED AI ENGINEERING For seed/Series-A founders without an in-house AI team. RAG, agents, ingestion pipelines, evals. A free scoping week, then a flat $20k 4-week build sprint to production. Book a 30-min scoping call: https://cal.com/aiescu. Email: hello@aiescu.com. ## What you get - **RAG-in-prod in 4 weeks**: Discovery + spec + a working pipeline behind your data. - **Agents with eval-CI guardrails**: Tool-using agents with eval CI, red-team, and observability. - **Document ingestion pipelines**: OpenSearch / Bedrock ingestion that stays inside your AWS account. ## Track record - 99.9% API availability on a client's production platform - 10× cut in a client's infrastructure costs - 93% retrieval accuracy on a client's production document AI (CI-gated) - 15+ yrs shipping production software Real numbers from production systems. The full portfolio, with NDA-gated client names and the eval/ADR receipts, is in the brief. The brief: https://aiescu.com/about ## Proof of capability ### Case study: Production agentic platform — multi-model orchestration + MCP toolchain An agent-driven analytics platform for a Series-B DeFi company (founder-direct under NDA; founder takes reference calls behind a mutual NDA). MCP tool servers for token resolution, asset search, swap quotes and oracle/gas; multi-model routing across Claude, GPT-5.5 and Gemini behind LiteLLM; a live multi-service Gemini 2.5→3.5 migration with RAG indexing, AI guardrails and PII anonymisation. The hard 90% wasn't the model call — it was making tool-using agents reliable in production: 99.9% API availability, p95 swap-quote under 300 ms, MTTR under 5 min. Full case study: https://aiescu.com/blog/defi-platform-case-study - **A working RAG + agent stack**: Full pipeline: ingest, retrieve, agent, eval CI. AI-coded, walked through live on the scoping call. - **Eval CI as a merge gate**: Recorded judge cassettes gate every PR, so no model regression ships to production. - **Observability from day one**: OpenTelemetry + Prometheus + structlog wired in, not bolted on later. - **Architecture you own**: ADRs, a chunked implementation spec, and the code transferred to you — no lock-in. ## Which LLMs we run, and why - **Claude (Opus 4.8 / Sonnet 4.6)**: Default for agentic and orchestration work — Sonnet 4.6 front-desk routing into Opus 4.8 specialists, strongest tool-calling reliability and code reasoning. - **GPT-5.5 / GPT-5.4 mini + text-embedding-3-large**: Structured extraction and batch matching where GPT-5.4 mini wins on cost-per-call (capped 200–800 tok); 3072-dim embeddings for hybrid retrieval. - **Gemini 2.5 → 3.5**: Migrated multi-service under live traffic — proof the routing layer survives a provider version jump without a rewrite. - **AWS Bedrock (Titan V2 / Cohere Embed v4)**: When embeddings and inference must stay inside the customer's AWS account — regulated-data engagements end-to-end. Everything sits behind LiteLLM with a per-task primary + fallback chain (ADR: single adapter, not per-provider SDKs). We don't marry a model — each workload is chosen on tool-calling reliability, cost-per-token, and data residency. ## The AI automation stack - **Models**: Claude, GPT-5.5, Gemini, Bedrock, LiteLLM gateway - **Orchestration**: LangGraph, Claude Code, MCP tool servers, eval CI - **Retrieval**: pgvector, OpenSearch hybrid, RRF k=60, Bedrock embeddings - **Backend**: Python, FastAPI, TypeScript, Go / Rust hot path - **Apps & voice**: Tauri, Electron, Speech-to-text streaming, Next.js - **Data**: PostgreSQL, Redis, Elasticsearch, S3 - **Infra & obs**: AWS (EKS / ECS), OpenTelemetry, Prometheus, Langfuse ## Specialized skills for every component we ship Each engagement runs on versioned, productized skills: the domain expertise our coding agents load before they touch your system. The relevant skills transfer with the handover, so your team keeps shipping after the sprint. - **RAG & retrieval**: Chunking, hybrid retrieval (pgvector + OpenSearch), recall measured in CI — not assumed. - **Search**: Federated + semantic search, reranking, MCP-compliant search surfaces. - **Pipelines & DAGs**: Airflow / Temporal orchestration — idempotent, schema-versioned, resumable. - **Specialized agents**: Tool-calling loops with guardrails, MCP tool servers, scoped and audit-logged write actions. - **Evals**: Golden sets and judge cassettes that gate every merge — regressions stop before production. - **Ingestion**: OCR, parsing, embedding, index sync — documents into queryable knowledge. - **Observability**: OTel traces, per-tenant token cost accounting, alerting that fires before customers notice. - **Deploy & SRE**: Containerized, autoscaled, circuit-broken — operated under real traffic. 300+ skills under ADOPT / FORK / BUILD governance with semver pinning — the same library both products draw from. ## Wired into your real systems. Agents that take action have to reach your stack — HubSpot, MS Graph, Twilio, SendGrid, internal REST/GraphQL APIs, and event webhooks. Webhooks ship idempotent, signature-verified, and dead-lettered, with RFC-7231 Retry-After backoff; write actions are scoped, confirmed, and audit-logged. ## Who this is for Fit: Pre-seed – Series A; No in-house AI team; Regulated or proprietary data; Wants to own the code. Not a fit: Needs a 24/7 support contract; Wants commodity per-hour body-shop pricing; No clear data or problem yet. ## Who you're hiring Teo Deleanu (https://www.linkedin.com/in/teodeleanu/): "I'm Teo. I've shipped production software for 15+ years — lead engineer at Comodo, MiOS, and forfone, then nine years owning an IoT platform's cloud infrastructure, and production AI on contract since 2025. On a sprint you work directly with me: I scope it, build it, and own the result." ## Fixed-fee sprints — no hourly billing $20k flat, per 4-week build sprint. - Free 30-minute scoping call, then a free scoping week: we agree the deliverable, a chunked implementation spec, and the ADRs - One flat fee for the build sprint — you know the number before we start. 50% on signature, 50% on handover - Kill-switch: either side can stop after the first week of the build sprint. You pay a flat 25% ($5k); the rest is refunded or not charged - Handover: code, ADRs, spec, eval suite, and the specialized skills — no lock-in, no retainer Most seed and Series-A builds fit one sprint. Larger scopes get a fixed multi-sprint quote on the free scoping call. ## Frequently asked questions **How much does it cost?** A flat $20k per 4-week build sprint; the scoping call and the scoping week before it are free. No hourly billing, no range — you know the number before the build starts. Larger scopes get a fixed multi-sprint quote on the free scoping call. **What if you miss the 4-week timeline?** That's what the scoping week is for. We agree the deliverable up front, and if something slips we cut scope, not quality. You ship something that works. **Is my data safe? Can it stay in my cloud?** Yes. For regulated or proprietary data we run embeddings and inference inside your own AWS account (Bedrock / OpenSearch). Write actions are scoped, confirmed, and audit-logged. **Do I own the code?** Completely. You get the code, ADRs, a chunked implementation spec, and eval CI — transferred to you. No lock-in, no mandatory retainer. **What do you need from me to start?** A real problem, access to (or a sample of) your data, and one free 30-minute scoping call. Then a free scoping week of discovery + spec, where we agree the deliverable, the chunked implementation spec and the ADRs; then the 4-week build sprint to production. **What if it isn't working?** Either side can stop after the first week of the build sprint. You pay a flat 25% of the fee ($5k); the rest is refunded or not charged. No hard feelings on either side. **Can I see proof before I commit?** Yes. There are live demos, the numbers above, and a working POC I walk you through on the call. The full brief with NDA-gated receipts is available too.