AI and agentic solutions that reach production
Agents, knowledge assistants, voice and messaging AI, and LLM features built on Claude, OpenAI, Gemini or open-weight models. Evaluation and monitoring are set up from day one.
What we do in AI & Agentic Solutions
AI agents, assistants and voice AI that do real work in your tools.
Prove the AI works on your data first, then wrap it in a product MVP, separate from a KPI pilot or a non-AI product build.
Build autonomous AI agents that plan, use tools, and complete real business tasks end to end.
Turn multi-step business processes into reliable AI-driven workflows with human checkpoints.
Coordinate specialized AI agents that work together on complex, cross-team operations.
Give teams accurate answers from your own documents, wikis, and data with retrieval-based AI.
Deploy AI assistants for customers and employees that understand context and take action.
Automate calls, bookings, and support with natural, real-time voice agents.
Serve customers on WhatsApp, Messenger, and SMS with AI that answers, books, and sells.
Transcribe, summarize, and repurpose audio and video with speech-to-text, text-to-speech, and AI avatars.
Build custom generative AI features for text, images, and content into your products.
Add leading large language models to your apps securely, with cost and quality controls.
Adapt models to your domain, tone, and data for higher accuracy and lower cost.
Run open-weight models in your own cloud or on-premises for full data control.
Extract, classify, and process data from invoices, contracts, and forms automatically.
Detect, inspect, and analyze images and video with production-grade vision models.
Company-wide search across drives, wikis, tickets and chat, not a single-domain knowledge assistant.
Connect AI agents to your systems, APIs, and data through secure MCP servers.
Shipped work and accelerators
AI call screening on web + mobile
An AI phone assistant that screens calls and messages across web and mobile
Agent ops from prototype to production
An operations console to register, run, monitor and govern fleets of AI agents
AI Booking Agent
An appointment-booking agent that answers, qualifies and books into your calendar over phone or chat.
ChatAI
Our internal builder for knowledge assistants and chatbots trained on your documents and tools.
Decode
A client RAG knowledge assistant with mobile app, retrieval over their content, deployed on AWS Fargate.
Phases, timelines and what you receive
Discover
Use-case scope, KPI baseline, data access plan
Pilot
Working pilot on real data with evaluation results
Production
Hardened, integrated, monitored system
Improve
KPI and cost reports, new use cases shipped
FAQ for AI & Agentic Solutions
Questions specific to ai & agentic solutions.
A PoC proves the AI can do the task (4-6 weeks). An MVP wraps it in a product real users can use (6-10 weeks after). If the AI part is uncertain, start with the PoC.
It depends on features and integrations. Every PoC or MVP gets a written quote after a short scoping call.
Yes. See Application Modernization.
Most agents start with a 4-6 week AI Pilot. Production builds are quoted after the pilot based on integrations and volume.
Claude, OpenAI and Gemini for most work; LLaMA or Ollama when data must stay in your cloud. We pick per task based on quality and cost.
Evaluation suites before launch, guardrails on data and actions, human approval for risky steps, and monitoring after launch.
Ready to talk about what to build?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one