Information control
Local, hybrid, or cloud operation based on the need
Keep sensitive information and processes in environments your organization controls, and use approved cloud services only where they add value.
AI for government and regulated organizations
AI that improves services while keeping your organization in control.
We help governments and organizations organize information and reduce manual work to improve service delivery and oversight. Data, rules, and decisions remain subject to the controls agreed with each organization.
- On-premise
- Hybrid cloud
- Governed operations
CORE PRODUCTS · DEMONSTRATIONS
See how a resident’s need connects to a municipal service.
Agentic Assistance coordinates the conversation. TITAN organizes case files and regulated workflows. Explore six fictional scenarios and see what the municipality can oversee in each one. 01 CITIZEN SERVICES
Municipal Agentic Assistance 24/7/365
Understands text, voice notes, images and documents; consults authorized sources, manages requests and transfers the case to the right staff member with context and traceability.
THREE ILLUSTRATIVE WORKFLOWS
- Ask with a voice note
- Report a partial payment
- Book a municipal space
02 PROCEDURES AND LAND
TITAN Ecosystem
Connects land-use requests, business licenses and inspections to the property, evidence, documents and institutional sources each process needs.
THREE ILLUSTRATIVE WORKFLOWS
- Track a land-use request
- Connect a field inspection
- Oversee a business license
Ecosystem
Technology programs and providers we use
TicoNeural is an OpenAI Select Partner within the OpenAI Partner Network, is a member of NVIDIA Inception, and runs selected cloud workloads on AWS. Each badge represents a different relationship; it does not certify our products or the results of individual deployments.
TicoNeural · OpenAI Select Partner
TicoNeural, member of the NVIDIA Inception Program
Selected cloud workloads run on AWS
How it works
Reliable information, clear processes, accountable people
We connect approved information to real services and tasks. Access, automation, review, and escalation are defined before the system operates.
- 01
Approved and protected information
The institution decides what information may be used, who can access it, and where it is stored.
- 02
Answers supported by sources
The system uses institutional documents and data that teams can review, update, and verify.
- 03
Automation with clear limits
Each task has permissions, accountable owners, and defined points for human review.
- 04
Oversight and improvement
Teams can understand what happened, detect problems, and improve the service with evidence.
Core capabilities
Useful technology with clear accountability
Institutional knowledge
Answers and tasks grounded in approved sources
Use approved sources, limit what the system may do, and keep responsibility clear at every step.
Ongoing oversight
Control that continues after launch
Permissions, review paths, records, alerts, and escalation rules keep operations understandable as usage grows.
Where we work
Designed for the people who deliver, oversee, and improve services
The experience is understandable to executives, public managers, IT, audit, procurement, and operating teams without requiring programming expertise.
Governments and public institutions
Citizen services, institutional knowledge and administrative workflows designed around public accountability, continuity and responsible technology adoption.
View Gov AI SuiteBusinesses and private organizations
Tools that make internal knowledge easier to use, reduce repetitive work, and support operations while respecting organizational policies and approvals.
View infrastructure servicesControl and oversight
Systems should remain understandable after deployment.
An AI service needs more than a tool. We design controls that show what the system did, who was involved, and when a person must step in.
- Access based on roles and defined permissions
- Clear records of questions, responses, and actions
- Human review and escalation paths
- Service availability, quality checks, and documented changes
Implementation path
From a concrete priority to a service in operation
- 01
Discover
Identify the operational problem, authoritative data, risk boundaries and the people responsible for the outcome.
- 02
Design
Define where the system will operate, what information it may use, how it will connect, and how controls and results will be evaluated.
- 03
Implement
Start with a limited service, connect it to real work, and validate it with the people responsible for it.
- 04
Operate
Observe, document and improve the system while maintaining governance, continuity and an auditable change path.
Start with a real operational need
Put AI to work on a concrete operating need.
Start with one service, workflow, or process that consumes time today and needs a better result.