Developers of generative AI applications face rising operational costs, unpredictable latency, and performance degradation when processing large or numerous inputs. Scaling such applications often requires handling long documents or retrieval‑augmented generation, which can overwhelm model token limits and increase inference expenses. Without efficient input handling, user experiences suffer and business outcomes such as conversions or retention decline.

Sqwish provides a real‑time input optimisation layer that compresses prompts and context by up to tenfold while preserving response quality. The service is delivered via a simple API that can be integrated with just a few lines of code, allowing developers to offload compression and adaptive tuning to the platform. Underlying the API is a reinforcement‑learning engine that continuously adapts prompts, model selection, context length, and memory based on live user interactions. By linking each AI interaction to concrete business metrics (e.g., conversion, retention), Sqwish enables applications to optimise for outcomes rather than only technical metrics like latency or accuracy. The result is lower token usage, faster inference, reduced cloud costs, and improved end‑user experience for a wide range of gen‑AI workloads.

Real‑time input compression that reduces prompt size by up to 10× without degrading answer quality

Reinforcement‑learning engine that adapts prompts, model choice, context, and memory on the fly

Outcome‑aware optimisation layer that ties AI interactions to business metrics such as conversions and retention

Minimal integration effort (only a few lines of code) via a RESTful API

Compatibility with retrieval‑augmented generation, document‑heavy workflows, and conversational agents

Continuous learning from live user signals to improve performance over time

Developers and product teams building generative AI applications, including retrieval‑augmented generation, document processing, and conversational agents, who need to control costs and latency while maintaining high-quality outputs.

Sqwish monetises its API through usage‑based pricing, charging customers for the volume of compressed tokens and adaptive optimisation services consumed.

Sqwish is working with 13 design partners to validate its technology and has been highlighted in industry events such as Investor Day. The company operates with a small team (2‑10 employees) and is listed as a Cambridge‑based software development venture.