We design, build and operate intelligent systems — connecting AI, commerce, financial technology and real-world operations.
§01Built from operating experience
Two long-running product lineages began with practical problems in restaurants and trade businesses, then grew into connected platforms.
Restaurant operations
These dates describe founder and product history. THYNKR SYSTEMS LTD was incorporated in 2023.
Explore the platformRetail & wholesale
Earlier dates describe the founder's technology lineage, not the incorporation date of THYNKR SYSTEMS LTD.
Explore the platform§02Portfolio
Thynkr Systems builds and operates commercial platforms in five families, on a shared layer of core technology and research.
Family 01
AI governance and assurance, customer context for people and AI agents, growth intelligence and a professional network for AI agents.
Family 02
Point of sale, kitchen, stock, trade accounts, ordering and payments for hospitality, retail and wholesale operations.
Family 03
Identity and KYC workflows, wallet and ledger architecture, payments integration and reconciliation, engineered as software rather than offered as regulated services.
Nexero is operated by Oxford Associates & Partners Inc; Thynkr Systems is its UK technology partner.
View Fintech & Financial InfrastructureFamily 04
AI workspaces for legal and professional work: matters, documents, evidence and governed assistance that a qualified person reviews and decides on.
Family 05
Privacy-led consumer services across mobile and web, with careful identity, profile and discovery workflows.
Shared layer
Reusable capabilities, developer infrastructure and research programmes that several products build on. They are foundations, not separately sold products.
§03Shared layer
Reusable capabilities, developer infrastructure and research programmes that several products build on. They are foundations, not separately sold products.
Shared capabilityLive through WorQ
Control what AI can access, decide and do, with evidence that can be reviewed later.
Explore Governance & AssuranceShared capabilityLive through AI PRO CRM
Give people and AI agents a governed view of customers, relationships and operational state.
Explore Agent CRM & ContextShared capabilityLive through GrowthPilot
Connect market research, acquisition, content, leads, CRM and measurement.
Explore Growth IntelligenceShared capabilityIn development
Shared conversational infrastructure that turns natural spoken conversation into controlled actions, designed for reuse across operational products such as TableSync AI and PalletPOS.
Explore Intelligent VoiceLocal & Edge AI InfrastructureResearch & development
A local-first, CPU-first AI runtime and compact model family (Eco, Core and Boost) with developer tooling, so applications can run AI on the user's own device: the model proposes and the application decides. Adil Eco is in release qualification; no Adil model can be downloaded yet.
View Adil EdgeResearch programmeResearch & development
Research into AI systems that observe their own performance, propose and test changes, and learn from verified outcomes, with people approving every consequential change. A research programme, not a commercial product.
Explore THYNKR RSI§04Research · THYNKR RSI
THYNKR RSI — Governed Recursive Self-Improvement is our long-term research programme into intelligent systems that observe their own performance, propose changes, test alternatives and learn from verified outcomes, while people keep authority over every consequential change.
Measure how a system performs, from authorised signals and an agreed baseline.
Describe a candidate change, its expected benefit and the evidence it needs.
Compare alternatives in isolation, checking for regressions as well as gains.
People with the authority to decide approve consequential changes.
Verify the real outcome against the baseline, and keep the change reversible.
A research programme: an autonomous self-improvement loop is not deployed, and RSI is not offered as a product or subscription.
§05Applications
Applications for operational environments across Android, iOS and Windows. Platform availability is listed separately from product status.
TableSync AI
PalletPOS
TableSync AI
§06Engineering
We design for the point where software becomes operational: permissions matter, networks fail, data must reconcile, and systems must remain maintainable.
CAP-01
Governed agents, evaluation, tool authority and customer context.
CAP-02
APIs, identity, resilience, observability and platform evolution.
CAP-03
Web, mobile and device workflows for operational teams.
CAP-04
Point of sale, ordering, stock, accounts and commerce workflows.
CAP-05
Identity, ledger architecture, provider integration and reconciliation.
CAP-06
Connected operational data, APIs, events and controlled access.
Engineering portfolio
Tanka is a Thynkr Systems cryptocurrency engineering project developing an independent blockchain network: an open-source, mineable digital currency and decentralised network designed for everyday transactions.
The project revisits an earlier cryptocurrency development initiative, bringing its original ideas into a new research and engineering programme.
In research and development. The network and payment tools are not yet released. Nothing here is an offer to buy or sell a digital asset.
THYNKR Systems' research programme into compact, CPU-first AI models: Adil Eco V1.1 is a frozen engineering candidate in qualification, with an internal comparative benchmark published on adiledge.com; Adil Core V1 and Adil Boost V1 are planned.
A research and development programme. No Adil model or SDK is publicly available.
Replacing spreadsheets, a separate till and manual statements with one system for a London trade counter.
§07Responsible technology
We design automation with explicit authority, proportionate controls, accountable people and reviewable decisions.
§08Founder-led engineering
Founder & CEO · Chief Architect
Software delivery since 1999, restaurant technology since 2004, and product engineering shaped by hands-on operating experience.
§09Start with the operating problem
Product architecture, intelligent workflows, platform modernisation or a difficult integration — begin with the outcome that matters.