AIC Labs
A playground for experimental intelligence
Labs is where we prototype agentic patterns, AI search optimization, and human-augmented intelligence experiences. Work here is R&D: exploratory, measurable, and designed with human oversight. The best ideas become blueprints for production.
“The most powerful systems anticipate needs and act with measurable guardrails and human oversight.”Malek Ould-Oulhadj, Founder & Principal Engineer
“True innovation happens when art meets intelligence, when creativity meets code, and when vision meets execution.”Malek Ould-Oulhadj
Agentic AI Systems
Agentic workflows designed with human oversight. We combine planning, tool use, and memory with measurable guardrails for dependable multi-step execution.
Core capabilities
- Context-aware planning and decomposition
- Tool use across APIs, databases, and SaaS
- Self-checks and recovery loops
- Goal tracking with observability hooks
- Human-in-the-loop controls
Technology stack
Google ADKAWS StrandsModel Context ProtocolOpenAPICustom Orchestration
Use cases
- Customer support workflows with action-taking
- Data analysis and reporting pipelines
- Ops automations with safe-guards
- Personalized recommendations and curation
- Research assistants for synthesis
AI Search Optimization & Semantic Discovery
Advanced search systems that understand user intent through semantic embeddings, vector similarity, and intelligent ranking. We build AI-discoverable knowledge graphs with voice-enabled search that make your content accessible to both humans and AI assistants.
Core capabilities
- Semantic search with neural embeddings
- Voice search with real-time audio transcription
- AI-native content discovery (ai-context.json, MCP)
- Hybrid search combining embeddings and keywords
- Multi-factor relevance scoring and ranking
- Real-time query understanding and intent detection
- Machine-readable knowledge graphs
Technology stack
Neural EmbeddingsVector SearchAudio TranscriptionVoice Activity DetectionModel Context ProtocolOpenAPIJSON-LD & Schema.orgNext.js API Routes
Use cases
- Intelligent content discovery for websites
- Voice-enabled search interfaces
- AI assistant integration and discoverability
- Natural language search interfaces
- Knowledge base semantic search
- Product and service discovery systems
- Research and documentation search
Multi-agent collaboration
Systems where multiple specialized agents coordinate to solve problems no single model can handle.
Agentic code generation
Agents that write, test, and deploy code with built-in self-correction and governance.
AI-powered content pipelines
End-to-end pipelines that ideate, review, optimize, and publish content across channels automatically.
Intelligent document processing
Understanding, extracting, and acting on information from unstructured documents with human-level comprehension.
Conversational UI/UX design
AI-driven design tools that craft intuitive interfaces via natural language directives.
Collaborate
Bring your most ambitious idea to Labs
Interested in co-building AI search optimization, semantic discovery systems, or bringing agentic intelligence into your product as a human augmentation companion? We're ready to prototype boldly and land precisely.