AI agents that make decisions, not just suggestions
LLMs, agent chains, and intelligent workflows, wired into your ops, not sitting in a sandbox.
We architect AI systems that sit inside real business workflows. Agents that route tickets, score leads, draft contracts, triage requests, doing the repetitive judgment calls your team makes hundreds of times a day. Built on LLMs, fine-tuned on your data, governed by your rules.
What We Build
Agentic Workflows
Multi-step agents that route, decide, and act across your business processes, with memory, tool use, and guardrails.
LLM Integration
GPT-4, Claude, Llama wired into your stack. Model selection based on cost, latency, and accuracy for your use case.
RAG Systems
Retrieval pipelines grounded on your data. Every response cites sources from your docs, policies, and knowledge base.
Tool-Calling Agents
Agents that invoke APIs, databases, and services, executing real actions, not just generating text.
Human-in-the-Loop
Escalation paths when confidence drops. The agent knows when to decide and when to ask a human.
Agent Monitoring
Observability, logging, drift detection for production agents. Trace every decision, catch issues before they compound.
How It Works
Audit
Map your workflows, identify high-value decision points, and assess data readiness for agent automation.
Architect
Design agent architecture: tool selection, memory systems, guardrails, and integration points with your existing stack.
Ship
Build, test, and deploy production agents with monitoring, escalation paths, and continuous improvement loops.
Where We Apply This
Insurance & InsurTech
Insurance runs on decisions: pricing risk, processing claims, detecting fraud. Most carriers still make these decisions with rules written a decade ago. We build AI systems that score risk in real-time, automate 80% of claims processing, and catch fraud patterns human reviewers miss.
View industry →Healthcare & Life Sciences
Healthcare teams run on fragmented systems, manual handoffs, and data that doesn't move between departments. We design AI-powered clinical workflows, patient engagement platforms, and data infrastructure that meets HIPAA requirements and ships into production.
View industry →Banking & FinTech
Banks and fintechs need AI that scores risk in milliseconds, catches fraud without blocking good customers, and meets regulatory requirements without a 12-month compliance project. We build those systems.
View industry →SaaS & Tech Products
SaaS companies need to ship AI features fast, scale infrastructure without downtime, and grow efficiently. We build the platform architecture, AI integrations, and growth systems that let product teams move at startup speed with enterprise reliability.
View industry →Enterprise & Operations
Large organizations run on manual workflows, approval chains, and spreadsheets that should have been replaced years ago. We build operational AI: demand forecasting, approval automation, vendor management, and the data infrastructure that makes real-time decisions possible.
View industry →E-commerce & D2C
E-commerce at scale is a data problem disguised as a retail problem. We build recommendation engines, demand forecasting models, dynamic pricing systems, and commerce platforms that turn browsing into buying.
View industry →Frequently asked questions
4-8 weeks for a single-workflow agent. 2-4 months for multi-agent systems with complex integrations. We ship the first working version in sprint 2, then iterate.
Every agent ships with confidence scoring, escalation thresholds, and full audit logs. Low-confidence decisions route to a human with context. You set the risk tolerance.
Yes. Internal docs, past tickets, policy documents. We assess data readiness in the first sprint and identify gaps before writing a line of agent code.
Ready to talk ai agents?
LLMs, agent chains, and intelligent workflows, wired into your ops, not sitting in a sandbox.