Generative AI that ships, grounded and controlled.
We design and build generative-AI features and assistants that are accurate enough for production: grounded in your data, guarded against unsafe output, and built for the security reviews government and regulated buyers run.
In this guide: What we deliver, How it stays accurate, Security review, Who we build for, Why Sthenos, Questions, Related guides.
Grounded in your data, guarded against unsafe output, and built for the security reviews government and regulated buyers run.
Retrieval connects models to your own knowledge so outputs are grounded, not guessed.
Role-based access, audit logging, encryption, human review, and the documentation vendor security reviews require.
Government and regulated commercial teams that need AI that is accurate and safe.
What we deliver
Assistants, copilots, and generative features that stay accurate because they are grounded, not guessed.
AI assistants & copilots
Grounded in your data, with guardrails, so answers are useful and trustworthy.
Document & content generation
Drafting, summarizing, and transforming documents and content at scale.
Retrieval-augmented generation
Connecting models to your own knowledge so outputs are grounded, not guessed.
Generative features in your product
Adding generative capabilities to your existing apps and workflows.
From prototype to production
Hardening generative-AI proofs of concept into secure, monitored systems.
How an AI app development company keeps generative AI accurate
Generative AI stays accurate when it is grounded in your data with retrieval (RAG), guarded by guardrails, reviewed by people for sensitive output, and tested, so answers are based on real sources.
- Ground it in your dataRetrieval (RAG) connects the model to your own knowledge.
- Add guardrailsGuarded against unsafe output.
- Keep humans in the loopPeople stay accountable for sensitive output.
- Test itSo answers are based on real sources.
Figure 1. Where each control sits
Built from this page’s own components: retrieval-augmented generation grounds the model in your own knowledge, guardrails guard against unsafe output, people stay accountable for sensitive output, and role-based access, audit logging and encryption run across every layer.
Impressive and unreliable
A demo that hallucinates- Guessed rather than grounded
- Security and governance as an afterthought
- Fails in regulated environments
Grounded and controlled
Accurate enough for production- Grounded in your data with retrieval
- Guardrails and human review for sensitive output
- Security built in from the first commit
- Documented for vendor security reviews
Built to pass a security review
AI fails in regulated environments when security and governance are an afterthought. We build them in from the first commit.
Built for buyers who answer to auditors
Government and regulated commercial teams that need AI that is accurate and safe, not a demo that hallucinates.
Boutique accountability with partner delivery capacity.
A senior Sthenos lead owns your engagement and engineers AI to be grounded and controlled rather than impressive and unreliable. We scale delivery capacity as a program grows, with senior Sthenos engineers accountable throughout. You get the focus of a boutique and the reach of an enterprise.
Credentials
Generative AI questions
What does a generative AI development company do?
Designs and builds software that generates content, code, answers, or decisions with generative models, and makes it accurate, safe, and reliable enough for production.
How do you stop generative AI from making things up?
By grounding it in your data with retrieval (RAG), adding guardrails, keeping humans in the loop for sensitive output, and testing, so answers are based on real sources.
Can you build generative AI for regulated industries?
Yes. We build with the access controls, logging, and documentation that government, financial, healthcare, and legal buyers require.
Can you add generative AI to our existing product?
Yes. We add generative features into your current apps and workflows, not as a separate, disconnected tool.
Tell us what you want it to do, and we will tell you how to make it accurate and safe.
A senior Sthenos engineer will scope your use case and the path to production.
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