Step 01Queued
Sense
Permissioned signals stream in from core systems, sensors, partners and public data — kept clearly separated by source.
Liquidity event detected; business sale proceeds likely.
Precise
We quantify. We do not inflate.
Agentic intelligence · Power to act
Twin the problem.Act on it.
Twyngentic builds a digital twin of anything your business depends on — a customer, a crop, a cell tower, a ledger — and puts governed AI agents to work on it. Every action is grounded in trusted data and approved by the person who owns the decision.
01
Sense
Liquidity event detected; business sale proceeds likely.
02
Twin
Affluent · balanced risk · holdings partly off-us
03
Reason
Advisory agent: Prepare a next-best-conversation brief on succession and liquidity planning.
04
Approve
Approver — Relationship manager
05
Act
Brief in RM inbox · suitability checked
Pick something to twin
The object
Person (synthetic)
- Customer
- Wealth
- Business owner
- Succession stage
- Segment
- Affluent
- Risk profile
- Balanced
- Consent
- Internal and open banking
- Holdings
- Partly off-us
Its twin
Liquidity event detected; business sale proceeds likely.
Agent proposes
Prepare a next-best-conversation brief on succession and liquidity planning.
Approve as relationship manager
01Sense
02Twin
03Reason
04Approve
05Act
01 — The governed loop
From signal to action in five steps.
Live signals flow into a digital twin. Governed agents reason over it, a named person approves, and the work gets done — with evidence and an audit trail at every step.
Step 02Queued
Twin
The signal updates a governed digital twin, so every decision is tested on a faithful model before it touches production.
Affluent · balanced risk · holdings partly off-us
Step 03Queued
Reason
A specialist agent reasons over the twin and drafts the work, with a confidence score and cited evidence.
Advisory agent: Prepare a next-best-conversation brief on succession and liquidity planning.
Step 04Queued
Approve
The agent stops at the human gate. The named owner of the decision reviews, edits or approves.
Approver — Relationship manager
Step 05Queued
Act
The approved action executes across your systems, and the outcome is fed back to make the next loop smarter.
Brief in RM inbox · suitability checked
02 — The platform
Six products. One nervous system.
Every product shares one reference architecture — governance, AI core, semantic and data layers — so each new agent makes the others smarter.
Universal object taxonomy studio01
Twyn Atlas
Define any object, living or non-living, as a governed class with attributes, relationships, states and rules.
ExploreDigital twin and simulation02
Twyn Studio
Instantiate operational, synthetic and process twins from Atlas definitions and run scenarios before acting.
ExploreGoverned agent library and orchestration03
Twyn Agents
Pre-built and custom agents that read, reason, draft and route work, with approval gates where judgement is required.
ExploreAI data governance suite04
TwynTrust
Data quality, MDM, RDM, catalog, glossary, lineage, privacy and reconciliation in one steward workspace.
ExploreData contract registry and enforcement05
Twyn Contracts
Producer–consumer agreements written as code, tested before deployment and monitored in production.
ExploreConversational analytics06
Twyn Ask
Natural-language questions answered from a governed semantic layer, with anomaly signals and decision nudges.
Explore03 — Governed by design
Every agent stops where judgement begins.
Deployments can run on-premises, air-gapped or in a dedicated sovereign cloud, with zero data retention on foundation models and role-based access that mirrors your organisation.
Consent by design
Only permissioned data is used, and internal, open-banking, ecosystem and public signals are kept clearly separate.
Suitability first
Recommendations are gated by risk appetite, vulnerability and advice rules before anyone sees them.
Explainable outputs
Every recommendation shows why a signal was prioritised and which evidence it used.
Human approval
Regulated advice, financial decisions and citizen entitlements always route through a named approver.
Closed-loop learning
Outcomes are captured to refine propensity, engagement and next-best-action logic over time.
04 — Path to autonomy
Autonomy is earned, stage by stage.
We de-risk adoption by moving in deliberate stages. Each stage pays for the next.
Stage 1 · Motor friction
Assisted AI
One dynamic navigator instead of dozens of applications, document intelligence and quick-win service bots.
Stage 2 · Cognitive friction
Augmented AI
Copilots surface the right insight at the right moment, so people decide faster and better.
Stage 3 · Scale friction
Autonomous AI
Agents execute routine, well-governed work end to end, and escalate the exceptions to a named owner.
05 — Where we work
Same loop. Any sector.
Financial services is our proving ground. The same twin-plus-agent method extends to any sector that runs on data it does not yet fully trust.
Banking, financial services and insurance
Ten pre-built investment and wealth journeys, plus KYC, finance data, claims and credit — with suitability and audit controls built in.
Explore BFSIAgriculture and public sector
A trusted, interoperable agriculture data ecosystem, from land and farmer records to vernacular advisory and water twins.
Explore agricultureTelecommunications
Subscriber twins, network asset twins and revenue assurance agents that make a telco's data as reliable as its network.
Explore telecom06 — Our values
How we build. How we speak.
We sound like a senior engineer explaining a system to a board: confident without hype, and always ready to show the number behind the claim.
01
02
Accountable
Every autonomous action has a named human backstop.
03
Composable
One architecture, many products.
04
Plain-spoken
We explain what an agent did and why, in language an executive can act on.
07 — Careers
We need your best to bring out ours.
If you are a data steward, an AI engineer or a domain expert who wants your work to change outcomes rather than describe them, we would like to hear from you.
See open rolesPower to act
Insight without action is a report nobody reads.
We start with a short discovery and a working twin, not a slide deck.
Start a conversation