AI Development
Autonomous agents, RAG/KAG engines, and production-grade LLM architectures.
Full-cycle engineering of tailored autonomous agents, hybrid rule-based and LLM classification pipelines, vector search (PGVector / Qdrant), and cost-bounded model routing. We build deterministic AI workflows that operate with measurable business ROI.
From experimental prompt to hardened, audited production AI systems.
Engineered with production-grade isolation, deterministic reliability, and seamless integration across the XIK infrastructure ecosystem.
Core Capabilities
4 Functional ModulesMulti-Agent Workflows
Orchestrated autonomous agent swarms with human-in-the-loop review queues and execution budgets.
Enterprise RAG & KAG
Hybrid retrieval with vector search, precise chunking, and strict grounded answer citations.
Multi-Model Routing & BYOK
Smart routing across Claude 3.7, Gemini 2.0, DeepSeek, and OpenAI to balance cost and latency.
Structured Output Pipelines
Deterministic JSON schema outputs with runtime validation and automated fallback retries.
Technical Specifications
- Identifier
- ai-development
- System Stack
- Python FastAPI, Go Microservices, PGVector / Qdrant, Temporal Orchestration, Redis Cache
- Runtime Architecture
- Isolated Container Fleet / Serverless GPU
- Deployment Model
- Client VPC / Dedicated Cloud
- Supported Interfaces
- OpenAI-compatible APIWebSocket StreamingREST Webhooks
More in XIK Studio
AI Security & Auditing
Adversarial agent evaluation, prompt injection defense, and tool sandboxing.
FinTech & Escrow Systems
Escrow engines, double-entry internal ledgers, wallet holds, and anti-fraud rules.
Backend Engineering
Distributed systems, high-concurrency Go worker fleets, and resilient event queues.