Most engagements produce a working prototype on your real data within 1–2 weeks. Full production integration typically lands in 4–8 weeks, depending on scope and data readiness.
[ SERVICE 01 ] AI & GENERATIVE AI
AI Agents & Generative AI
Custom AI agents, LLM integrations, and retrieval-augmented generation engineered into the products you already run — built on OpenAI, Anthropic Claude, Gemini, and open-source models.
[ 01 ] Overview
Engineered with intent.
We don’t bolt a chatbot onto your product. We engineer AI that understands your data, your users, and your business logic.
Codero builds production-grade AI systems — not demos. Our AI agents and generative features integrate with the tools, data, and workflows you already depend on, with the evaluation, guardrails, and observability needed to run safely at scale.
From retrieval-augmented generation over your private knowledge base to autonomous multi-step agents that take real actions, we ship AI that earns its place in your stack — and keeps improving after launch.
[ 02 ] What’s included
What’s included.
01
Conversational agents & copilots
In-product assistants and copilots that answer, summarize, and take action in context.
02
Retrieval-augmented generation
RAG pipelines over your private docs and data — accurate, grounded, and cited.
03
LLM integration & orchestration
Multi-model routing, prompt orchestration, and tool / function calling wired into your systems.
04
Fine-tuning & evaluation
Custom fine-tunes plus rigorous eval harnesses, so quality is measured — not guessed.
05
Guardrails & safety
Content safety, PII handling, and policy guardrails built in from day one.
06
Observability & ops
Tracing, cost controls, and monitoring that keep agents reliable in production.
[ 03 ] Our approach
From idea to production.
/ 01
Discover
We map your data, users, and the decisions AI should support.
/ 02
Prototype
A working proof-of-concept in days — tested on your real inputs.
/ 03
Evaluate
Eval harnesses measure accuracy, safety, and cost before scale.
/ 04
Integrate
Wire the agent into your stack with guardrails and human handoff.
/ 05
Operate
Monitor, retrain, and improve — 24/7, long after launch.
[ 04 ] Stack
Built on proven tools.
OpenAIAnthropic ClaudeGoogle GeminiLangChainLlamaIndexpgvectorPineconePythonNode.jsAWS Bedrock
[ 05 ] Use cases
Where it pays off.
SUPPORT
Customer support copilots
Deflect tickets and assist agents with grounded answers from your help center and product docs.
KNOWLEDGE
Internal knowledge assistants
Let teams query policies, code, and tribal knowledge in natural language — every answer cited.
OPERATIONS
Document & data processing
Extract, classify, and route documents — contracts, invoices, forms — at scale.
GROWTH
Sales & ops automation
Draft proposals, enrich CRM records, and automate repetitive multi-step workflows.
[ 06 ] Questions
Frequently asked.
We’re model-agnostic — OpenAI, Anthropic Claude, Google Gemini, and open-source models like Llama. We choose per task based on quality, latency, cost, and your data-residency needs.
Yes. We support private deployments, zero-retention API configurations, PII redaction, and VPC / on-prem hosting — so your data never trains third-party models.
Absolutely — that’s the point. We connect agents to your databases, internal APIs, CRMs, and tools through secure function calling and webhooks.
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