Virtual services + New
| Service | Protocol | Status | Calls |
|---|---|---|---|
| customer-api | HTTP | Replaying | 12,480 |
| payments-mq | IBM MQ | Replaying | 3,204 |
| core-ledger | JDBC | Recording | 128 |
| partner-sftp | SFTP | Passthrough | 47 |
| fx-rates-ws | WebSocket | Replaying | 9,655 |
GienTech
Let AI agents create, manage, and run virtual services in minutes — standing in for any system your software depends on, so development and testing never wait.
Why it matters
The systems your app connects to aren't always ready — they're shared, locked down, or offline. So your team waits instead of building and testing.
How it works
Capture real traffic through to the backend, then serve it back byte-for-byte — with the backend switched off.
No backend yet?
The real system doesn't have to exist yet. Build the virtual service up front — no live backend required.
Pillar 01 · Service Virtualization
The virtual service replies just like the real one, on whatever protocol it uses. Your app connects the same way and can't tell the difference.
Why virtualize
Service virtualization lets your teams build and test against systems that are unavailable, unfinished, expensive, or unsafe to touch.
Dev & testing
One virtual service feeds front-end, back-end, and QA at the same time — nobody waits for the real system.
Dev & testing
Pillar 02 · Service Agentification
Tell an AI agent what you need in plain language. It builds the virtual services, keeps them in sync, and fixes them when things change — no coding, no specialists.
Benefits · Agent-managed virtualization
Create & manage
Upkeep
Upkeep
Pillar 03 · Data Studio
Give it one example and AI creates hundreds of lifelike records — each one consistent and ready to replay.
Synthetic data
The agent builds realistic data from your production logs, existing recordings, sample files, and API specs.
Synthetic data
The product
Virtual services + New
| Service | Protocol | Status | Calls |
|---|---|---|---|
| customer-api | HTTP | Replaying | 12,480 |
| payments-mq | IBM MQ | Replaying | 3,204 |
| core-ledger | JDBC | Recording | 128 |
| partner-sftp | SFTP | Passthrough | 47 |
| fx-rates-ws | WebSocket | Replaying | 9,655 |
The product
POST /api/cis/claims Matched CLM-001234
The product
Synthesize — customer-api Generating…
1 example → 100 records · engine: AI (local) · consistent entities
The product
Recordings — customer-api + Record
| Operation | Protocol | Match | Fingerprint | Last used |
|---|---|---|---|---|
| GET /customers/{cif} | HTTP | 2 rules | 3f9a… | 2m ago |
| POST /claims | HTTP | 2 rules | a17c… | 5m ago |
| lookup.byId | gRPC | 1 rule | 88d2… | 1h ago |
| customer.updated | Kafka | by topic | 4e0b… | 3h ago |
| stmt.export | SFTP | by path | c92f… | 1d ago |
The product
GET /customers/{cif} Replay
{
"cif": "{cif}"
}{
"cifNo": "{cif}",
"fullName": "John Doe",
"status": "ACTIVE",
"segment": "PRIORITY",
"branch": "SG-014"
}Tokens like {cif} echo the request · response script: on
The product
The product
Audit trail
The payoff
GienTech Service Agentification