Six service lines,
delivered by the people who designed them.

What is it?Agents built around your business logic, automating multi-step workflows so your team works on strategy, not repetition.

What problem does it solve?

Work spanning several systems and judgment calls — too complex for conventional software, too repetitive for people.

How does it work?

Reasoning, tool use, and self-correction on LangGraph, with hard guardrails and human sign-off on irreversible actions.

Where does it deploy?

On-premises, private cloud, air-gapped, or your cloud account.

What outcome does it enable?

Throughput without headcount, and an audit trail for every action taken.

What is it?Local embeddings and retrieval that answer from your PDFs, manuals, and wikis — inside the access controls you already enforce.

What problem does it solve?

Knowledge locked in documents people search by hand, with answers that depend on who you ask.

How does it work?

Local embeddings, an index inside your boundary, answers cited to source. PII is tokenized before it is embedded.

Where does it deploy?

Entirely inside your perimeter; fully air-gapped where required.

What outcome does it enable?

Research, reconciliation, and data queries compressed from weeks into hours.

What is it?On-premises voice agents for regulated contact centers, integrated with your voice platform down to SIP signaling and media routing.

What problem does it solve?

High-volume, regulated conversations that cannot pass through a third-party cloud.

How does it work?

Voice agents inside your telephony perimeter, with the guardrails, logging, and escalation of every agent we build.

Where does it deploy?

On-premises or private cloud, alongside your existing voice platform.

What outcome does it enable?

Deflection and agent assistance without a single transcript leaving your environment.

What is it?From AI curiosity to a clear plan: an operations audit, opportunity assessment, and prioritized roadmap, grounded in PMI and Microsoft AI guidance.

What problem does it solve?

Where AI creates return, where it should not be applied, and what to build first.

How does it work?

A paid assessment; the audit and roadmap are yours outright, whether or not you continue with us.

Where does it deploy?

Delivered against your actual infrastructure, data, and security constraints.

What outcome does it enable?

A sequenced plan with the measurement agreed up front.

What is it?Monitoring, model updates, embedding refreshes, air-gap patching, and incident response — keeping a production agent correct as your data and your regulator’s expectations change.

What problem does it solve?

Systems that drift, indexes that go stale, and patches that cannot cross an air gap.

How does it work?

Run by the team that built it, with anomaly detection over the reasoning trace, not only the output.

Where does it deploy?

Wherever the system runs — including fully offline environments.

What outcome does it enable?

A system that stays correct, and a single accountable team when it does not.

What is it?One AI agent for the whole school, connecting every part of it and every stakeholder in it. In development under Synthora AI Labs, with its own brand.

What problem does it solve?

Student records, scheduling, attendance, documents, and administration live in separate systems nobody connects.

How does it work?

One agent across records, timetables, attendance, identity, and documents — integrated with ERP, HR systems, databases, campus kiosks, and regulatory boards.

Where does it deploy?

On-premises, private cloud, or SaaS. Annual license.

What outcome does it enable?

A unified platform for every need of the school.