AI Opportunity & Agent Design
Map a customer workflow, identify safe use cases and define a bounded agent specification with evaluation criteria.
Pittsburgh, PA · AI Engineering & Industrial Intelligence
AI Agent Development & Industrial AI Engineering in Pittsburgh.
SynapticSteel explores custom AI agents, knowledge assistants and governed workflow integration for Pittsburgh businesses and technical teams. We begin with the systems you already use, define measurable outcomes, then evaluate a bounded prototype. Our industrial edge AI research and TelePod work remain distinct engineering paths.
Custom AI Agent Development · Pittsburgh
Useful agents. Clear boundaries. Built around your business.
Our Pittsburgh-based AI agent engineering work focuses on discovery, scoped prototypes and evaluation with Microsoft Foundry and existing customer systems. Potential applications include internal knowledge assistants, customer information workflows, and tool-connected agents. Begin with a defined task, approved sources and measurable success criteria before adding integrations or automation.
Current engagement stage
Discovery and pilot design
Customer production deployments, specific integrations, availability commitments and pricing are scoped individually. Prototype capability does not imply a live customer installation.
Knowledge & Guest-Service Agents
Explore policy-aware assistants for internal teams, customer FAQs, hospitality information and document retrieval.
Workflow & Software Integration
Prototype agents that gather context and prepare actions across approved APIs, with explicit confirmation for consequential changes.
Agent Evaluation & Lifecycle
Plan testing, source grounding, access controls, quality reviews, observability, cost limits and ongoing support.
Microsoft Foundry
A practical foundation for building and managing AI agents.
Microsoft Foundry is an Azure platform for bringing AI models, agent instructions, connected tools and evaluation into one development environment. Instead of treating a chatbot as the finished product, we can design an agent for a specific job, test its behavior and work toward a controlled deployment.
Build with purpose
Select models, give agents a defined role and attach only the tools and knowledge needed for that task.
Connect existing systems
Explore approved links to business documents, Microsoft 365, APIs and other software without blindly replacing them.
Test the behavior
Evaluate answer quality, source reliability, failure handling and tool permissions before a customer pilot.
Plan for oversight
Use identity, access controls, tracing and monitoring appropriate to the deployment and data involved.
How we approach an agent project
One useful workflow. Prove it. Then expand.
01
Discover
Choose a real business problem and agree on what a correct answer or action looks like.
02
Prototype
Configure a bounded Foundry agent with approved example data and the minimum necessary tools.
03
Evaluate
Test real scenarios, inaccurate answers, permissions, human escalation and estimated usage cost.
04
Pilot responsibly
Review the results together before any customer data connection or production release.
Our Foundry work currently includes internal agent experimentation and integration engineering. Customer deployments, security configuration, service commitments and consumption costs require project-specific review. Platform capabilities depend on the selected Azure setup and feature availability.
Microsoft Foundry, Entra identity, Microsoft 365, Cloudflare and existing software integrations are technology options, not a reason to replace working systems.
Discuss an AI Agent Pilot Industrial & IT Discovery
Before adding technology, understand the environment already doing the work.
We come in to build a practical current-state profile of the operation. That means learning the process, inventorying the technical environment, documenting who supports what, and identifying the problems people are already compensating for. We are there to complement the existing IT staff, MSP, controls team and vendors—not replace working infrastructure for the sake of selling something new.
Process & Equipment
Process flow, critical equipment, handoffs, bottlenecks, recurring exceptions, operator workarounds, maintenance realities and the places where information gets lost.
IT / OT & Support
Networks, endpoints, servers, controllers, HMI/SCADA, monitoring, backups, cloud services, vendors, remote access, support ownership and the systems your team depends on every day.
Software, Licenses & Capability
Software, subscriptions, cloud platforms, vendor tools and licenses you already pay for. We research what is underused, duplicated, poorly configured or capable of doing more with reasonable effort.
Pain Points & Opportunity
Recurring failures, weak visibility, manual work, documentation gaps, staffing pressure and technical debt. We separate quick wins from larger projects and identify what is actually worth changing.
What the discovery produces
A technical baseline you can act on.
Current-state process, equipment and infrastructure profile
Inventory of systems, software, services, vendors and support ownership
Prioritized pain points, visibility gaps and recurring workarounds
Underused capabilities and avoidable duplication in tools you already own
Practical cleanup, integration and documentation opportunities
A short list of where AI, edge computing or TelePod could amplify the environment
If the best answer is to configure something you already own, improve documentation, help an overloaded IT team, or leave a working system alone, that is still a useful outcome. SynapticSteel technology only enters where the discovery supports it.
Discuss a Discovery Engagement Featured Paid Pilot
TelePod Machine Intelligence Pilot
Build Your PilotContact SynapticSteelChoose one machine worth understanding better. A TelePod pilot begins with an equipment, instrumentation and safety review. Where the site and measurements are suitable, a bounded observation setup can record machine behavior over time and investigate meaningful departures alongside operator observations and maintenance activity.
The pilot does not promise a failure prediction. It produces a bounded engineering investigation and an evidence-backed machine history: what changed, when it changed, what else changed around it, what the evidence supports, what remains uncertain and what is worth doing next.
Discuss a PilotWhat the pilot includes
One selected machine or asset
On-site commissioning and instrumentation plan
Approximately 30 days of observation
Machine behavior and operating-state history
Operator and maintenance event correlation
Engineering review of meaningful departures
Final findings and evidence report
Closeout review and next-step recommendations
Starting scope assumes one accessible asset and a straightforward deployment. Travel, specialized instrumentation, unusual installation requirements or expanded scope are quoted separately.
Future capability · Specialist partnerships
Autonomous systems and robotics.
SynapticSteel's longer-term direction includes autonomous systems integration, maintenance and development. We intend to grow this capability with qualified robotics, controls, functional-safety and industrial engineering professionals, initially through partnerships and, as the business supports it, specialist hires.
Our current TelePod research focuses on observation, evidence and human-governed intelligence. It does not confer autonomous machinery-control authority or imply that a turnkey robotics installation team is already in place.
Discuss a Technical PartnershipWhere we intend to grow
Integrate: Connect approved sensing, computing and intelligent equipment with existing operating environments.
Support: Build qualified commissioning, maintenance and lifecycle-support capabilities.
Develop: Collaborate on new robotics and autonomous systems under appropriate engineering, testing and safety oversight.
Industrial & Edge Engineering
Engineering services that complement our AI work.
Not every problem needs a new platform. Sometimes the valuable work is connecting what already exists, finding what nobody can explain, or building the missing tool between the machine and the people responsible for it.
Industrial & IT Discovery
A practical review of the environment you already have — processes, equipment, networks, software, cloud services, licenses, monitoring, vendors and support coverage. We identify pain points, underused capabilities and duplicated effort, help improve what already exists, then evaluate where SynapticSteel AI, edge computing or TelePod can add real value.
Industrial Systems Investigations
For the problems that fall between maintenance, IT, controls, vendors and operations. SynapticSteel instruments the problem, gathers evidence, traces the systems involved and works toward a fix or a defensible technical explanation.
Industrial IT / OT Visibility
Asset discovery, network and service mapping, SNMP visibility, time synchronization review, monitoring gaps and practical infrastructure documentation for industrial environments.
Sensor & Data Integration
Connect existing machine, process and infrastructure data that is trapped in separate systems. Build practical data paths, APIs, dashboards, evidence capture and operator-facing views without replacing working control systems.
Private Edge AI & Computing
Design, prototype and evaluate local intelligence where plant data should stay close to equipment. Linux, NVIDIA Jetson, local inference, sensors, APIs, observability and edge-to-site integration. Any field deployment is individually scoped and validated.
Industrial Software & Automation
Focused internal tools for maintenance, inspections, machine history, operator observations, engineering workflows and legacy process modernization—built around the way the work actually happens.
Plant Intelligence Assessments
A hands-on review of machines, monitoring, networks, maintenance practices and information gaps. The result is a practical opportunity map for what is worth instrumenting, integrating, automating or investigating next.
Have an ugly problem?
If it crosses machines, software, networks or people, start there.
Tell us what keeps happening, what nobody owns, or which machine everyone argues about when it starts acting strange. We can decide whether it calls for a pilot, an investigation, an integration project, an IT/industrial discovery engagement or something simpler.
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