AI that does the work,
not just answers questions
A chatbot responds. An agent acts. We build autonomous AI agents and multi-agent systems that carry out complex, multi-step work across your tools — reliable, monitored, and grounded in your data.
Agentic systems running in production
Agents built for production, not for a demo
A chatbot responds. An agent acts. Agentic AI systems carry out complex, multi-step tasks on their own — researching a topic, processing data, making a decision, and taking action across your tools without waiting for the next prompt. Done right, they lift entire workflows off your team. Done wrong, they're an expensive demo no one trusts in production.
SensViz is an agentic AI development company that builds systems for the second outcome — reliable, monitored, and grounded in your data. We use the modern agentic stack: the latest large language models, vector databases, and orchestration frameworks like LangChain and LangGraph — the same tools behind the products we ship for clients.
What we build
Five ways we put agents to work
From a single autonomous agent to a coordinated multi-agent system — each one a dedicated capability we build end to end.
Autonomous agents that own a multi-step workflow end to end — research, outreach, processing, and decisions.
Teams of specialized agents that coordinate — one researches, another drafts, another validates.
Retrieval-augmented generation that grounds agents in your own data — accurate, current, and traceable.
Connect large language models into your products, workflows, and data — the right model for each task.
Assistants and voice agents that understand context and take real action across your systems.
The agentic stack
The stack that makes agents reliable
Agents are only as reliable as the stack beneath them. We use the modern agentic toolchain and choose each piece around your accuracy, cost, and data-privacy needs — not around whatever is trending.
The reason most agentic pilots never ship is trust. We close that gap with retrieval, evaluation, guardrails, and monitoring — so you can see what every agent is doing and rely on it.
Large language models
Commercial & open-source
Vector databases
Retrieval & memory (RAG)
Retrieval-augmented generation
Grounded, traceable answers
LangChain & LangGraph
Agent orchestration
Monitoring & guardrails
Reliable in production
Evaluation harness
Tested on real cases
What agents take off your team
Work your team shouldn't do by hand
Agents earn their place on work that's high-volume and rules-based enough to automate, but too multi-step for traditional automation. These are the ones we build most — each one lifting a recurring job off your team.
How we deliver
A five-step path to agents in production
Every engagement runs the same way — so you always know what happens next and why it matters to the business.
Discovery call
We map the workflow and find where an agent genuinely saves time, cuts cost, or unlocks revenue.
Discovery call
We map the workflow and find where an agent genuinely saves time, cuts cost, or unlocks revenue.
Opportunity mapping
We define the highest-impact agentic use cases and the metrics they'll move.
Opportunity mapping
We define the highest-impact agentic use cases and the metrics they'll move.
Solution design
We architect the agents, flows, integrations, and the logic that runs everything behind the scenes.
Solution design
We architect the agents, flows, integrations, and the logic that runs everything behind the scenes.
Build and deploy
We build, test, and integrate the system into your stack — with guardrails and monitoring.
Build and deploy
We build, test, and integrate the system into your stack — with guardrails and monitoring.
Optimize and scale
We refine performance, expand what works, and scale your agents into a durable capability.
Optimize and scale
We refine performance, expand what works, and scale your agents into a durable capability.
Customer story
We turned manual grant research into instant, personalized matches — surfacing best-fit funding across renewable energy, smart tech, healthcare, and agriculture.
GrantMatch blends large language models, a recommendation engine, and a vector database — the exact foundation of retrieval, reasoning, and intelligent decision-making we build agentic systems on.
Why SensViz
Why teams trust us to ship agents
Four reasons our agentic systems make it to production — and stay there.
Production-ready, not experimental
Agents built to run reliably, with monitoring and guardrails — not pilots that stall.
Grounded in your data
Retrieval keeps every output accurate and traceable, not hallucinated.
Integrated end-to-end
Agents connect to the CRM, ERP, databases, and workflow tools you already run.
The right stack
LLMs, vector databases, and orchestration chosen for your requirements, not the hype.
Explore more
Related services
Frequently asked questions
A chatbot answers questions. An agent completes tasks — it can research, decide, and act across multiple steps and tools without constant prompting. Agents do work; chatbots have conversations.
We ground agents in your own data using retrieval-augmented generation, evaluate them against real test cases, and add guardrails scoped to how risky the task is. Higher-stakes actions get tighter controls.
Yes. We integrate agents into the tools and data you already use — that integration is what makes them useful rather than isolated.
We work across leading commercial and open-source LLMs and orchestrate with frameworks like LangChain and LangGraph, selecting per project based on accuracy, cost, and privacy.
It's ready — but only when built for reliability. The difference between a useful agent and a risky one is grounding, evaluation, guardrails, and monitoring, which is exactly what we build in.
Let's put agents to work
Tell us about a workflow that's eating your team's time, and we'll map where an agent can take it over.
