连接与治理
接通你的系统、政策与知识，让 AI 在你的规则之内工作，而不是绕过它们。
/ Knowledge & Governance /
Research that used to take days. Done in hours.
An AI research layer that searches, synthesises and structures information from internal and external sources — so your teams spend time on judgement, not on information gathering.
The problem
Senior people doing junior research
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Senior people doing junior research
Analysts, lawyers, doctors and consultants spend a disproportionate share of their time finding and summarising information rather than applying expertise to it.
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Inconsistent research quality
Research depth and rigour depend on who does it and how much time they have. There is no standard process that scales.
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External and internal sources never connected
Market data, regulatory updates and internal reports live in different places. Synthesising them requires manual effort every single time.
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Research that does not transfer
Insights stay in individual decks and inboxes. Institutional learning never accumulates across projects, teams or markets.
How it works
从信号到成果——治理内置
自动化与辅助
让工作流上线：分流、起草、解决或升级，全程带完整上下文与审计追溯。
度量与改进
跟踪运营 KPI、质量与风险——再和你的团队一起调优剧本。
流程序列会适配你的工具、渠道与风险态势。
Research that used to take days. Done in hours.
What's included
What you get when you run this with Thinkia
A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.
Multi-source research
Queries internal knowledge bases and external sources (web, regulatory databases, academic repositories) in a single workflow.
Structured synthesis
Returns summarised, structured outputs with source attribution — not raw search results.
Configurable depth
Define the scope, sources and format of research output per use case or team.
Regulatory and compliance source integration
Connects to sector-specific sources (EMA, EUR-Lex, SEC, etc.) for regulated industries.
Research audit trail
Every output is traceable to its sources, with timestamps and retrieval metadata.
Team knowledge loop
Validated research outputs feed back into the enterprise knowledge base.
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Results
What changes when this runs in production
Results vary by research complexity, source availability and domain specificity.
9 weeks
to a pilot analysing a 90-fund portfolio, including audio/video transcription and alerting
Thinkia feasibility analysis for a European private bank (2026), anonymised.
~40 h
of analyst time per new fund before automation — the baseline the pilot attacks across a 90-fund portfolio
Thinkia feasibility analysis for a European private bank (2026), anonymised.
30%
Share of expert time redirected from information gathering to analysis
Orientative — confirmed in discovery; depends on the starting point.
How we work
From search fatigue to synthesised evidence your experts can cite
Corpus & rights
Corpus & rights
Week 1–2
Internal papers, patents, and licensed sources are indexed with access and retention rules.
Query patterns
Query patterns
Week 3–5
Hypothesis workflows, citation format, and red-team tests match R&D or strategy norms.
Team pilot
Team pilot
Week 6–9
A lab or portfolio team uses the assistant daily; hallucination and gap reports drive fixes.
Firm-wide habits
Firm-wide habits
Week 10+
More domains, languages, and integrations with ELN or PLM—governance stays centralized.
IP sensitivity and external licences constrain content; onboarding is phased by division.
Go deeper
Research, RAG, and high-trust automation
Ideas, trends, and tools to stay ahead
Get started
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.