ConceptCare

Platform

One AI platform to build, govern and operate institute agents.

ConceptCare unifies agent construction, data access, orchestration and observability so teams ship autonomous systems without assembling a toolchain.

Modules

Nine modules, one operating model

AI Agent Builder

Define an agent's role, instructions, tools, data access and permitted actions in a visual builder, then test before deploy.

Workflow Automation

Event, schedule and API triggers with branching, human approval steps and replayable execution history.

Data Connectors

Governed connections to your ERP, LMS, payment gateway, messaging channels, spreadsheets and internal APIs.

Knowledge Base

Chunking, embeddings and retrieval over your notes, question banks and policies, with source citation on every answer.

Model Management

Route workloads across models by cost, latency and sensitivity. Version, evaluate and roll back safely.

Analytics

Agent quality, doubt resolution rates, workflow throughput and cost per outcome in one operational view.

Monitoring

Live traces, latency and error budgets with alerting on drift and failure patterns.

Permissions

Role-based access down to the agent, data source and action level for management, faculty and office staff.

Institute-grade Security

Encryption in transit and at rest, per-institute data isolation, audit logs and privacy-first defaults for student data.

Architecture

ConceptCare Intelligence connects every layer

Data, models, agents, workflows and institute systems share one governance and audit path.

L5Institute Data

Students, batches, tests, fees, material and messaging history unified behind one governed access layer.

L4Models

Reasoning, extraction and embedding models routed per workload with evaluation and versioning.

L3Agents

Role-scoped agents with instructions, tools, memory and explicit permitted actions.

L2Workflows

Deterministic orchestration around agent reasoning: triggers, branches, approvals, retries.

L1Institute Systems

Write-back into your ERP, LMS, payment and messaging platforms so decisions become actions.

Lifecycle

From design to production operation

    Step 01

    Design

    Scope the agent role, instructions, tools and the actions it is allowed to take.

    Step 02

    Ground

    Connect governed data sources and knowledge bases with per-user access rules.

    Step 03

    Evaluate

    Run golden sets and adversarial cases before anything reaches production.

    Step 04

    Deploy

    Release to a limited audience, monitor traces and expand with confidence.

    Step 05

    Operate

    Track quality, latency and cost per outcome; roll back versions instantly.

See the platform with your own data.

Talk to our team about a scoped deployment, or explore the platform in detail.