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Integration without fragile glue
We handle REST, GraphQL, gRPC, third-party APIs, retries, idempotency, webhook verification and operational visibility.
// Services / api-integrations
API integrations that keep systems in sync
DYNO SOFT connects products through typed APIs, resilient webhooks, synchronization pipelines and secure MCP servers.
// What we do
Focused capability, not magic
// FAQ
Questions teams ask
When should a company build a production-grade autonomous AI agent?
Build an agent when a workflow needs flexible tool selection, context retrieval or bounded decisions. DYNO SOFT first compares a deterministic workflow, then adds multi-agent orchestration only when it improves the measurable outcome.
How do you build reliable RAG infrastructures and AI knowledge assistants?
We implement ingestion, chunking, hybrid retrieval, citation-aware generation and evaluation pipelines (evals), with strict guardrails and traceable failure handling. Representative questions become regression tests before launch.
How do you reduce AI latency and repetitive API overhead?
We use Redis for semantic caching to reduce repetitive API overhead by up to 40% when request similarity and freshness rules permit. Dynamic model routing can fall back from Claude 3.5 Sonnet to open-weight alternative models to keep real-time budgets under 200ms per token.
Can you securely connect agents to existing systems?
Yes. We expose narrowly scoped capabilities through secure MCP servers, typed APIs and verified webhooks, with authorization, validation, audit logs and human approval for sensitive actions.
Can you take a product from idea to production?
Yes. Engagements can cover discovery, architecture, implementation, deployment and observability as one continuous track, including Next.js applications and cloud-native backends.
// Make the next decision easier