GBIF
Fixed upstreamthe Global Biodiversity Information Facility
Both endpoints serving the ZooBank checklist returned 404 and five consecutive crawls had failed since 21 July, with nothing on the dataset page to say so.
68.8% to 78.0%
More right answers
When an AI answered questions about company filings, checking each answer against the document it cited took it from 68.8 per cent right to 78.0 per cent.
202
Facts lost in a handover
Moving one defence data standard into a major software vendor format silently dropped 202 links between terms. Nobody involved was told.
7 of 22
Fields with nowhere to go
Seven of that vendor 22 data types have no equivalent anywhere in the open standards, including the one that marks information as classified.
773 of 981,355
Records carrying the required ID
Weeks before a US regulator made one company identifier mandatory across nine agencies, only 773 of its own 981,355 company records had one.
名额有限
为接下来十家企业团队提供为期一个月的免费评估。
在作出任何承诺之前，先用贵司自有数据进行评估。
合作机构
Open source
Used by engineers at
Stargazers, contributors and forkers of our open source repositories.
交付范围
一份合约，而非四家供应商的整合项目。
多数机构会分别采购四项能力，并自行承担整合责任。我们以一份合约交付支撑这一切的底层，且贵司技术部门可在签约前进行完整评估。
01
我们厘清贵司数据的含义
目前有关数据的机构知识分散在表格与个别业务专家手中。我们将其正式化，使机构在人员变动与组织调整之后仍然持有。
02
我们将其映射为所要求的格式
监管机构、合作方与收购方各自要求以不同方式呈现同一批信息。我们只构建一次映射，消除每新增一个交易对手就重复一次的人工返工。
03
我们量化流失的部分
格式之间的转换很少是无损的，而供应商很少披露这一差额。我们进行测量并出具报告，使风险敞口在作出承诺之前即被知晓，而非在监管指出之后。
04
我们提供审计轨迹
每一步骤都连同其依据一并记录。当监管机构、董事会或尽职调查中的收购方要求佐证时，文件已经存在，无需在压力之下重新拼凑。
全部部署在贵司自有环境内。数据不出机构，您与数据之间没有任何供应商介入，且软件为开源，贵司安全部门可在其接近生产环境之前完整审阅。
客户案例
已交付的项目及各自的成果。
Testing Land Valuation Methods: Welsh Government
Produced a comprehensive comparative analysis across all five methodologies, published March 2026. Findings directly inform Welsh Government local government finance policy.
阅读完整案例AI Ontology Extension Generator: National Digital Twin Programme
Delivered a production-ready Streamlit web application with a four-step wizard workflow, built-in validation and visualisation tools, and iterative refinement capabilities. Published on GitHub under National-Digital-Twin organisation.
阅读完整案例客户保密
Verified graph RAG for a multinational crop science company
Scope was retrieval across a large technical document estate with access control and encryption. We built the verification layer: every document becomes its own graph, and contradictions surface with citations rather than being averaged away. It found a classification asserted one way in four documents and the opposite in two others.
Client anonymised at their request.公开验证
可由您自行核查的证据。
我们对贵司所在行业已经依赖的公开数据标准进行检验，并公开所发现的缺陷。每一条都是真实的缺陷、真实的修复，以及负责方作出回复的公开链接。
Semantica
Merged upstreama knowledge graph library with an RDF export path
Audited and then repaired the whole export path: seventeen issues filed and ten pull requests merged, covering deterministic identifier minting, a declared vocabulary, JSON-LD payloads that a plain parser can actually read, typed literals, timezone-qualified timestamps, and SHACL shapes that had never once matched the data they were written to validate..
查看我们检验过的全部标准
22 merged pull requests and 65 issues filed across 44 organisations.
有何不同
三条采购路径，其中一条能够进入生产。
A graph database
You get storage and a query language. The modelling, the validation and the question of whether the model is right stay with you, which is where the cost and the risk live.
A consultancy
You get a model and a slide deck. When the people leave, the reasoning behind the model leaves with them, and nothing in the build stops it drifting afterwards.
This
You get the model as infrastructure, the validation running in your pipeline, and the evidence trail. When something breaks the ontology, your build fails rather than your users finding out.