MynTech Software connects AI features to the tools your business already uses. A support assistant may need access to approved help articles; an invoice workflow may need extraction, validation and a review queue. We define the task, the allowed data and the expected output before choosing a model or building an integration.
Your demo should make the trade-offs visible. Test it with representative documents and questions, inspect incorrect answers, and check how a person can review or override the result. We agree the evaluation approach and deployment requirements with your team before moving beyond the demo.
We agree what the demo will cover, then build it for your team to test before the first payment. Use the review to confirm the product direction and acceptance criteria. The written proposal sets out what is included in the demo, the production work that follows, and the payment milestones.
Get Your Free Demo →Support assistants that retrieve approved answers from your documentation, with escalation to a person when needed.
Extract information from invoices, contracts and forms, with validation and human review for exceptions.
Knowledge assistants with access controls, approved sources and a hosting approach agreed for your data requirements.
AI agents that draft replies, qualify leads, summarize calls, and update your CRM automatically.
Demand forecasting, churn prediction, and anomaly detection built on your historical data.
We embed AI features — smart search, recommendations, content generation — into your existing app.
We understand your goals, users, and must-have features. NDA signed first if you prefer.
A clear scope, timeline, and fixed price — no hourly meters, no surprise invoices.
Your working application demo, built at our cost and delivered for you to test on a live URL or your own device.
Review the demo against the agreed scope before approving the first payment and scheduling the next delivery milestone.
We complete, polish, and launch the product — then support it with monitoring, fixes, and new features.
An AI quote depends on the workflow, data preparation, integrations, evaluation and hosting requirements. Model usage, storage and third-party services can add recurring costs. Share a sample task and the expected volume so we can prepare a written scope and explain those costs separately from development.
Data handling depends on the model, provider and deployment. We agree approved data sources, access controls, retention and provider terms before integration. If self-hosting or a particular region is required, that becomes part of the scope; an AI integration alone does not establish legal compliance.
That is exactly why we work demo-first. We build the solution against your real documents and workflows, you measure the accuracy and time savings yourself, and only then do you pay. No slideware, no promises — working software.
OpenAI's GPT models, Anthropic's Claude, and leading open-source models (Llama, Mistral). We choose per use case based on accuracy, cost per query, and your privacy requirements — and we build so you can switch models later without a rewrite.
Tell us the workflow, users and constraints you have in mind. We will review the requirements with you, prepare a written proposal, and define a demo your team can test before the first payment.
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