AI & Machine Learning
AI Integration & Automation
Add AI features that feel native to your product. We ship assistants, search, and automations that are grounded in your data, measurable in quality, and ready for production.
Benefits
What you get
Model-agnostic (OpenAI, Claude, Bedrock)
RAG knowledge bases with citations
Tool calling + workflow automation
Document parsing & structured extraction
Voice + vision features when needed
Evaluation, monitoring, and iteration
Features
What we deliver
AI Assistants (In-Product)
Chat and command interfaces with memory, tool calling, and safe fallbacks—designed for real user workflows, not demos.
RAG Knowledge Bases
Retrieval systems that answer from your docs with citations, excerpts, and permission-aware access when required.
Workflow Automation
Automate ops and support tasks using structured prompts, function calling, approvals, and audit-friendly logs.
Document Intelligence
Extract data from PDFs, forms, and unstructured content—normalize it into clean JSON your systems can use.
Voice & Vision
Speech-to-text, text-to-speech, and image understanding for voice notes, call summaries, or visual inputs.
Quality & Safety Layer
Evals, regression tests, red-team scenarios, and analytics so accuracy improves over time and failures are visible.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Customer Support
Grounded assistants that answer from your help center and tickets, with human handoff and low-confidence fallbacks.
Internal Knowledge
Search + Q&A across SOPs, wikis, and docs so teams find answers fast—with citations and access control.
Ops Automation
Summaries, routing, tagging, and structured extraction that reduce manual work while keeping reviews in the loop.
Product Intelligence
Natural language queries over product data, dashboards, and events—turning metrics into decisions.
Decision Guides
Not sure which to choose?
FAQ
Frequently asked questions
Timeline depends on scope. MVPs typically take 8-12 weeks, while larger projects can take 4-6 months. We provide detailed timelines during the estimate phase.
We offer both fixed-price and time-and-materials pricing. Fixed-price works best for well-defined projects, while T&M is ideal for evolving requirements.
Yes, we offer maintenance packages including bug fixes, security updates, and feature enhancements after launch.
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