From Demo to Production: AI for Business Systems
Many AI prototypes struggle in production because of high latency, unpredictable API costs or weak error handling. Kineto Soft builds AI systems that handle many requests at once and fit the business's privacy and data rules.
Low-Latency Token Streaming
Asynchronous Server-Sent Events (SSE) and WebSocket streaming built with Python (FastAPI), providing immediate character-by-character UI rendering for end users.
Semantic Caching & Cost Control
Vector database integration (pgvector, Qdrant) to cache and serve semantic query embeddings, reducing LLM API costs for repeated or similar queries.
Retries & Fallback Models
Circuit breakers, automatic secondary model fallbacks, and exponential backoff retry algorithms to keep the service available when an upstream provider is rate-limited or down.
Privacy & Data Handling (GDPR)
Privacy-first architectures featuring upstream PII scrubbing, European audit trails, strict data-retention controls, and Human-in-the-Loop (HITL) safeguards.
High-Impact Enterprise AI Use Cases
Practical AI systems with measurable results: less manual work and faster answers for customers.
Autonomous Research & Outreach Agents
Prospecting pipelines that query public registries and generate contextual draft emails for manual human sign-off.
RAG Assistants & Knowledge Bases
Enterprise Retrieval-Augmented Generation (RAG) engines indexed against proprietary corporate documentation, delivering answers grounded in your documentation and reducing hallucinations.
Document Parsing & Data Extraction
Automated ingestion and structured data extraction from invoices, technical manuals, and contracts, embedded into B2B SaaS platforms or exported directly into relational databases (PostgreSQL / SQL Server).
Frequently Asked Questions on Enterprise AI & LLM Integration
How do you control and reduce LLM API operational costs in production? ▾
We implement semantic caching with vector databases (Redis or pgvector) to reuse results for repeated or similar queries, design token-lean prompts, and route routine subtasks to suitable models.
How do you handle personal data and the EU AI Act in AI applications? ▾
We design privacy-first data pipelines that can include pre-inference PII redaction, provider data-retention controls, safety guardrails, and audit logging aligned with applicable transparency requirements.
Let's discuss your project
Tell us what you want to build or improve: a business web app, customer portal, booking system or another business application. Kineto Soft will reply with an initial view of scope, price and timing in writing, usually within 48 hours.