Voice AI
<1s
end-to-end response time
On-premise conversational voice assistant
Real-time voice AI with 100% on-premise processing: fast answers, and no customer data leaving the site.
Custom AI model development
Custom AI models trained on your data, not the internet.
We fine-tune and deploy generative AI and machine learning models on your proprietary data, for higher accuracy, fewer hallucinations and full control over where your data lives.
- Project kickoff within 48 hours of your discovery call
- Fine-tuned models that understand your domain and your workflows
- Deploy in the cloud, on-premise or at the edge
- AWS, Azure & Google Cloud certified engineers with PhD-level AI research
48h
from discovery call to project kickoff
1–2 wks
to a working AI prototype
30+
proprietary AI engineering accelerators
PhD
AI researchers & certified cloud engineers
The challenge
Generic AI only gets you so far
- Off-the-shelf chatbots give wrong or made-up answers about your business
- You can't send sensitive data to public AI APIs
- Your machine learning proof of concept never reached production
- You don't have the in-house AI expertise to move fast
There's a faster, lower-risk way. Here's how we deliver it.
What you get
What we build
Production-grade AI, built around your data and your constraints, not a demo that falls apart in the real world.
Fine-tuned LLMs
Models trained on your proprietary data to reduce hallucinations and improve domain accuracy.
RAG assistants & search
AI assistants that answer from your documents and knowledge base, with sources.
On-premise & edge AI
Local inference for low latency, offline operation and full data sovereignty.
Predictive machine learning
Forecasting, scoring, classification and anomaly detection on your business data.
Voice & conversational AI
Real-time voice assistants with sub-second response times.
MLOps & cloud infrastructure
Secure, compliant AI infrastructure on AWS, Azure and Google Cloud, built to scale.
How it works
From first call to production AI
- 01Day 1
Discovery call
Free. We map your use case, data and constraints, and define what success looks like.
- 02Within 48h
Kickoff
The right specialist team is assembled and your project starts, with no upfront setup fees.
- 03Weeks
Build & fine-tune
We prepare your data, train and evaluate models, and iterate with your team.
- 04Ongoing
Deploy & govern
Production deployment with monitoring, governance and continuous improvement.
Flexible ways to work, no setup fees
Bring in on-demand AI experts, a dedicated team or full project delivery, on fixed-price or time-and-materials terms.
Proven results
Real outcomes from our delivery network
Client names are kept confidential, but the numbers speak for themselves.
Media & publishing
2-level
data segregation
Secure generative AI platform for a digital media group
Dual-level data segregation that prevents information leaking between user profiles.
Financial services
+50%
conversion lift
Donation widget for a leading European payments provider
Delivered a 50% increase in conversion, with 100% compliance success achieved within 3 months.
Insights
Guides on this topic
In-depth, sourced answers to the questions leaders ask before investing in AI and software.
Law Firm AI Confidentiality: What the Rules Require in 2026
Law firm AI confidentiality explained: what ABA Opinion 512, state bars, the Heppner ruling and IRS Section 7216 require, and which AI setups meet them.
Read article
AI Readiness Assessment Checklist: A 30-Point Scorecard
An AI readiness assessment checklist for mid-sized companies: 30 checks across six dimensions, four hard stops, and what to do at every score.
Read article
How to Evaluate AI Chatbot Accuracy Before and After Launch
How to evaluate AI chatbot accuracy: build a test set, grade grounding, size the sample, set pass thresholds by risk, and keep measuring after go-live.
Read articleFAQ
Questions, answered
Do we need a lot of data to fine-tune a model?
Often less than you think. In discovery we assess the data you have and recommend the right approach, whether that's fine-tuning, retrieval-augmented generation (RAG), or a combination.
Can the AI run without sending data to the cloud?
Yes. We deploy models on-premise or at the edge with local inference, so sensitive data never leaves your infrastructure and the system can even work offline.
How much does a project cost?
Every project is different, so we don't guess. After a free discovery call you get a clear scope and estimate before you commit to anything. We offer fixed-price, time-and-materials and risk-free proof-of-value options, with no upfront setup fees.
How quickly can you start?
Fast. Many projects kick off within 48 hours of the discovery call, and AI agent prototypes are typically delivered in 1–2 weeks.
Who actually does the work?
Fleurant AI scopes and manages your project and matches it with the right specialist team from our vetted delivery network: AI PhD researchers, certified cloud engineers and senior full-stack developers. You keep one accountable point of contact from start to finish.
Free, no-obligation consultation
Ready to see what's possible?
Get a free, no-obligation consultation with a specialist. You'll leave with clear next steps, whether or not we work together.
Free · No obligation
Tell us about your project
Tell us about your project. A specialist will reply within 1 business day.