AYMAM
Uygulayımları
Aymam bridges the gap between frontier AI capability and legacy operations. We deploy production-ready, orchestrator-driven agents that automate high-fidelity content creation, desktop environments, video intelligence, and secure on-premise cognitive knowledge bases.
Production-grade infrastructure ready for multi-tenant deployment.
Transform raw product assets into studio-grade commercial campaigns. Implements deep spatial alignment, multi-modal ad copy generation, and predictive scheduling by running continuous engagement regression loops on account performance metrics.
Eliminate manual form-filling, logistics logging, and multi-system registration tasks. Our lightweight, vision-guided agent translates intuitive worker audio commands into structured JSON payloads, executing complex UI actions seamlessly.
Processes live or recorded CCTV feeds to generate exhaustive textual activity summaries exported as interactive PDFs. Timestamps are linked directly to specific video segments, allowing administrators to click directly to the precise millisecond of a flagged action. Includes custom operational tripwires to instantly dispatch smart alerts to team managers based on natural language criteria (e.g., 'unauthorized rear access after hours' or 'flag immediate rapid support if a client with a toddler arrives').
Full enterprise data intelligence with zero cloud dependencies. We orchestrate highly optimized, quantized open-source models paired with offline vector infrastructure (ChromaDB/FAISS) to process sensitive internal records securely.
Automate high-throughput customer inquiry channels via low-latency speech-to-text-to-speech agents. Connected directly to localized company business routers with full analytical dashboards and immutable log streams.
A modular infrastructure designed to tackle hyper-specific organizational data bottlenecks. We configure custom tool-calling agents to address proprietary architectural workflows.
Our backend utilizes serverless isolation via Cloud Run. Analytics pipelines flow into BigQuery for predictive scheduling telemetry, powered natively by unified multi-modal orchestration frameworks in Gemini Enterprise Agent Platform.
// Conceptual Initialization Matrix
from google import gemini_enterprise
from google.cloud import bigquery, run_v2
from aymam.agents import MultiAgentOrchestrator
orchestrator = MultiAgentOrchestrator(
agent_runtime="gemini-enterprise/agent-runtime-v1",
vision_layer="gemini-enterprise/tumgoz-video-intelligence",
telemetry_sink="gcp/bigquery/analytics_cluster"
)
print(orchestrator.verify_pipelines())
>> [OK] Gemini Enterprise Agent Platform AI Systems Active. Multi-Tenant Pipeline Ready.
Secure early pilot access and infrastructure sandbox tokens.