AI agents and multi-agent orchestration
Agents that plan, call tools and hand work to each other, with validated state between steps and clear points where a person reviews the result.
AI Products
AI development: agents, assistants and automation that hold up in production
Applied AI that holds up in production: multi-agent systems that complete work end to end, LLM copilots and RAG assistants grounded in your own data, voice, vision and simulation, all shipped with evaluations, guardrails and cost controls.
Getting a demo working with a large language model takes an afternoon. Getting it to give correct answers every day, stay within budget, and fit into the systems your team already uses is the real work. That is the part we focus on.
We build AI agents that complete multi-step tasks, assistants grounded in your own documents and data, and automations that connect models to your CRM, inbox, database or internal tools. We work across OpenAI, Anthropic, Google Gemini and open models, and choose based on accuracy, cost and where your data is allowed to go.
Every AI system we ship comes with evaluations that measure answer quality, guardrails for what the model may and may not do, human approval steps where mistakes would be costly, and cost controls such as model routing and caching.
What is included
LLM copilots, assistants and chatbots
Assistants inside your product or for your support team, with the right tone, access controls and a fallback to a human when the model is not sure.
Retrieval (RAG) over documents and business data
Search and answers over your documents, knowledge base and databases, with sources shown so users can check where an answer came from.
Agent-based simulation and scenario modelling
Models that simulate how people, markets or systems respond to change, for planning and risk analysis.
Voice AI, speech and transcription
Speech-to-text, voice assistants and call summaries, tuned for accents, background noise and domain vocabulary.
Computer vision and document processing
Reading invoices, forms, IDs and images, extracting structured data and routing it into your systems.
Fine-tuning, evaluations and guardrails
Test sets that measure quality before and after every change, fine-tuning when prompting is not enough, and rules that block unsafe or off-topic output.
AI workflow automation and system integration
Connecting models to email, CRMs, spreadsheets and internal APIs so routine work runs without copy and paste.
How we work
- 01
Use case and data review
We define what a good answer looks like, check the data available, and flag privacy or compliance limits early.
- 02
Prototype and evaluation set
A working prototype on real examples, measured against a test set so quality is a number, not a feeling.
- 03
Production build
Guardrails, human review steps, logging, cost controls and integration with your systems.
- 04
Monitor and improve
We track quality and cost in production and adjust prompts, models or retrieval as usage grows.
Tech stack
- OpenAI
- LangChain
- RAG
- LangGraph
- Python
- CrewAI
- Claude
- Gemini
- Llama
- Hugging Face
- TensorFlow
- spaCy
- pgvector
- Pinecone
- MCP
- FastAPI
- ElevenLabs
- Pandas
- FFmpeg
Pricing
Every project starts with a free discovery call and a written estimate split into milestones. Choose the model that fits:
- Fixed-price project. A written scope split into milestones, each with a fixed price and deliverable. Best when requirements are clear.
- Hourly. Pay for the hours worked, with time tracked and reported. Best for ongoing changes, audits and evolving scope.
- Dedicated developer or team. Developers assigned to you on a monthly contract, working your business hours as an extension of your team.
- Maintenance and support. 24/7 monitoring against a 99.9% uptime target, plus fixes, updates and small features after launch, as needed or on a monthly plan.
AI Products projects
P
Health and Fitness
- React Native
- Expo
- Redux Toolkit
- Stream Chat
- AI
- Mobile
Perzimo
AI fitness coach for women training through midlife, live on iOS and Android.
4.6★App Store rating
H
Health and Fitness
- Expo
- Node.js
- Supabase
- HealthKit
- AI
- Mobile
Health AI: Cal & Fit Tracker
Snap a meal, get calories and macros. An AI nutrition tracker live on the App Store.
Liveon the App Store
I
Banking
- React
- Next.js
- Node.js
- PostgreSQL
- Web
- AI
Identifee
Multi-tenant CRM suite for US banks and credit unions, with role-based access, dynamic forms, reporting and AI text generation.
FAQ
AI Products questions
What clients usually ask before starting a ai products project with us.
Another question? Email info@mercurysols.org.
Which AI model should we use?
It depends on the task, accuracy needed, cost and where your data may be processed. We often route simple steps to a cheaper model and harder steps to a stronger one, and test the options on your own examples before deciding.
How do you stop the AI from making things up?
We ground answers in your own data and show sources, check facts such as citations against the original records, and set the system to say it does not know rather than guess. An evaluation set catches regressions before release.
How do you keep model costs under control?
Model routing, prompt caching, token budgets per task and monitoring of cost per run. We estimate running costs before launch so there are no surprises. Model usage is billed by the provider to your own account.
Is our data safe?
We use providers and settings that do not train on your data, keep keys in your own accounts, and can run on your infrastructure or with open models when data must stay in-house. We are happy to sign an NDA before seeing anything confidential.
Can you add AI to our existing product?
Yes. Most of our AI work is inside existing products: an assistant in a dashboard, automated document handling, or smarter search. We integrate through your current APIs and database.
Other services
Have a project in mind? Let's talk.
Tell us what you want to build. New builds, ongoing work or maintenance, on fixed-price, hourly or dedicated-team terms. We reply within 1 business day.
- We read your brief and reply within 1 business day
- A short call to agree goals and scope
- A written proposal with milestones and cost