Generative AI development for products and teams
LLM-powered features, chatbots that answer from your own documents, and content workflows, built securely into your app or business systems.
Generative AI is most valuable when it is connected to your data and your users’ real tasks. SixSol builds generative AI features that sit inside your product or workflow, with the evaluation, cost control and security needed to run them every day.
What we build
- Knowledge assistants (RAG): chatbots that answer from your manuals, policies, tickets or product data, with links to the source.
- AI features inside your app: smart search, summaries, drafting, classification and recommendations in web and mobile apps.
- Document automation: extracting data from invoices, contracts, forms and emails into your systems.
- Content workflows: on-brand drafts for products, social media and emails, with review and approval steps.
- Voice and speech: speech-to-text, text-to-speech and voice assistants.
- On-device AI: local models that run offline on phones, kiosks or embedded hardware.
Our approach
- Choose the right model for quality, speed, cost and privacy: GPT, Claude, Gemini or open-source models such as Llama.
- Prototype fast on your real data and test it against examples your team agrees are correct.
- Engineer for production: caching, rate limits, monitoring, prompt versioning and protection of personal data.
- Hand over clearly: documentation, dashboards and training so your team can operate and extend it.
From prototype to product
Many generative AI projects stall after the demo. We plan for the parts that make it usable: user interface, permissions, error handling, costs at scale and updates when models change. See also our AI agent development service for AI that takes actions, not just answers.
What is RAG and do we need it?
Retrieval-augmented generation lets the model look up your own documents before answering. You need it whenever answers must be specific to your business and kept up to date without retraining a model.
Which AI model should we use?
It depends on the task, budget and privacy needs. We often test two or three models on your real examples and choose on measured quality and cost.
Can you add generative AI to our existing app?
Yes. We integrate AI features into existing web and mobile apps through your backend, keeping API keys and data access on the server side.