AI Tethering & Orchestration
Connect your AI models to live data sources, APIs and business systems for real-time grounding, ensuring every response is accurate, current and contextually aware.
Ground Your AITethering Capabilities →
Live Data Grounding
Connect LLMs to real-time databases, APIs and data feeds so AI responses are always based on current, accurate information, not stale training data.
DiscussTool Use & Function Calling
Enable AI models to execute actions, querying databases, calling APIs, triggering workflows and interacting with external systems autonomously.
DiscussMulti-Model Routing
Intelligent orchestration that routes tasks to the optimal AI model based on complexity, latency requirements, cost constraints and capability matching.
DiscussKnowledge Graph Integration
Structured knowledge bases that give AI models deep contextual understanding of your business entities, relationships and domain logic.
DiscussContext Management
Advanced context window strategies including sliding windows, hierarchical summarization and long-term memory for coherent multi-turn interactions.
DiscussReal-Time Monitoring
Live observability into AI model inputs, outputs, latency, cost and accuracy with automated alerting and quality degradation detection.
DiscussOur Tethering Process
Technology We Work With
Orchestration
- ▹ LangChain
- ▹ CrewAI
- ▹ AutoGen
- ▹ LangGraph
APIs & Connectors
- ▹ REST
- ▹ GraphQL
- ▹ gRPC
- ▹ WebSockets
Databases
- ▹ PostgreSQL
- ▹ Neo4j
- ▹ Pinecone
- ▹ Redis
Streaming
- ▹ Apache Kafka
- ▹ AWS Kinesis
- ▹ Redis Streams
- ▹ SSE
Monitoring
- ▹ LangSmith
- ▹ Helicone
- ▹ OpenTelemetry
- ▹ Datadog
Security
- ▹ OAuth 2.0
- ▹ API Gateway
- ▹ Rate Limiting
- ▹ Encryption
Ready to ground your AI in real-time data?
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