We identify high-value AI use cases, prototype on real data, and deploy production-grade systems integrated with your tools and infrastructure.
Agents, RAG, computer vision and secure deployment — built into real business workflows.
Production AI agents that use your tools, retrieve company knowledge and run multi-step workflows with human review and full audit logs.
Grounded search and Q&A over your internal documents and databases with source citations, access permissions and measured accuracy.
Explore Enterprise RAG SystemsDetection, OCR, visual monitoring and quality control for industrial and operational workflows — deployed at the edge or in your cloud.
Explore Computer Vision DevelopmentWe connect AI to your CRM, ERP, databases, helpdesk and internal tools to automate repetitive workflows end to end, with logging and error handling.
Private AI deployment in your cloud or on-prem infrastructure when data privacy, compliance or latency makes public cloud unsuitable.
We audit your workflows, identify high-ROI AI use cases and design a practical roadmap on your real data before development starts.
Book Technical Discovery// Selected work
Selected systems built for enterprise teams and software companies — from agent workflows to on-prem RAG and computer vision.
A real-time voice agent for inbound customer support — sub-500ms latency, natural turn-taking, deep integration with the existing CRM — reducing load on human agents by ~40%.
A GraphRAG backend for legal document analysis — clause extraction, cross-document reasoning, and grounded answers over contracts, statutes and case law — used by 1,000+ lawyers in production.
A 24/7 concierge agent that qualifies inbound leads and books property viewings across WhatsApp and Zillow, with full HubSpot integration so the sales team picks up the conversation where the agent left off.
// Why Stemar
Senior engineers, in-house team, production-grade systems and full ownership of what we build for you.
We design AI agents around reliability, observability, permissions, evaluation and integration from day one.
We validate the use case on real data before scaling into full production.
We support private cloud and on-premise AI deployment when sensitive data cannot leave your environment.
You work directly with AI architects, not layers of account managers.
// Process
We validate the business case first, then build, integrate and monitor the AI system in your real workflow.
Find the workflow worth automating
You describe the workflow, data or operational bottleneck you want to improve with AI.
Test on real data in 2–3 weeks
We analyze the use case, data sources, integrations, risks and expected business value.
Integrate with your tools and permissions
We build a working prototype in 2–3 weeks using your actual documents, databases or workflow examples.
Monitor, improve and support
We connect the AI agent to your systems, add permissions, logging, monitoring and human review where needed.
// Industries
AI engineering for industries that need real data integration, security and production reliability — not novelty demos.
AI agents for risk analysis, KYC workflows and document automation.
Computer vision for defect detection, safety monitoring and inspection.
Enterprise RAG over case files, contracts and regulatory libraries.
Semantic product search, AI concierge agents and content automation.
Tell us about the workflow that needs AI — we'll scope it from there.
Book a Technical CallSelected AI systems our engineers have shipped to production.
// Tech stack
Open-weight and commercial models, vector stores, serving infrastructure and integration tooling — picked per project, not by vendor preference.
// Team
Senior engineers who design, build and ship the AI systems we deliver — direct access, no agency layers.
An AI agent is a system that can use tools, retrieve information, follow business rules and execute multi-step workflows. Unlike a basic chatbot, it is connected to your data, systems and operational logic.
Most AI agent prototypes start from $10,000–$25,000. Production systems with integrations, permissions, monitoring and evaluation usually start from $25,000+ depending on scope.
A focused prototype usually takes 2–3 weeks. A production-ready AI agent integrated with internal systems usually takes 6–12 weeks.
Yes. We can deploy AI systems on private cloud or on-premise infrastructure when security, compliance or data control require it.
A RAG system retrieves answers from company knowledge. An AI agent can use RAG as one capability, but can also call tools, validate data, trigger workflows and interact with business systems.
Yes. We provide post-launch support, monitoring, quality improvements and feature development.
Yes. We can work behind the scenes with software agencies and product teams that need AI delivery without hiring a full AI engineering team.
We design and ship production AI systems: AI agents that execute business workflows, enterprise RAG for internal knowledge, computer vision pipelines, and secure on-premise deployments. Every system is built on your real data and wired into the tools your team already uses — not standalone demos.
You work directly with senior engineers — no account-manager layers, no offshore handoffs, no white-label resellers. No-code platforms hit a wall the moment you need real integrations, permission boundaries, audit logs and production-grade reliability. That is where we start.
A focused prototype typically takes 2–3 weeks on your real documents, databases or process samples, with explicit evaluation criteria. If the value does not show up in evaluation, we tell you — and stop. We would rather kill a weak idea early than ship it.
Yes. All our systems support on-prem, private cloud or VPC deployment with open-weight models and local inference. No customer data leaves your perimeter unless you explicitly decide it should. This is the default for regulated industries and security-sensitive teams.
We do. Production AI requires monitoring, quality evaluation, drift detection and ongoing iteration. Long-term support, SLAs and maintenance windows are part of how we deliver — not an upsell.
