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生成AIフレームワークを構築するチームによる、ユースケース、プロダクト思考、エンジニアリングノート。
Code You Can Trust
"AI is a black box." This is the objection we hear most often from finance teams considering AI tools. It's also wrong—or at least, it doesn't have to be true.
記事を読むOne Agent, Many Sources
Your data lives everywhere. Excel models from the FP&A team. Market feeds from Bloomberg and Reuters. PDF reports from portfolio companies. API connections to banking systems.
2026年10月9日 · 4 分で読めますAsk Your Data Anything
You have a question. It's not complicated: What was our EBITDA margin by region over the last eight quarters? The answer exists somewhere in your systems.
2026年10月7日 · 4 分で読めますAudit-Ready by Design
Compliance officers have questions about AI. Good ones. As financial institutions adopt AI tools, the compliance function faces a new and unfamiliar challenge: how do you audit decisions that were assisted by artificial intelligence?
2026年10月2日 · 5 分で読めますRun 50 Scenarios Before Your Coffee Gets Cold
Investment committees don't want to hear about your base case. They want to know what happens when things go wrong—and right—and sideways.
2026年9月28日 · 5 分で読めますFrom Blank Sheet to Board-Ready Model in 15 Minutes
It's 6:47 PM on a Thursday. Sarah, a VP at a mid-market PE firm, stares at a blank Excel workbook.
2026年9月24日 · 5 分で読めますHow to Get Reliable News in a World Full of Noise
You open a tab for "the news" and get millions of pages. Half of them are unrelated. The rest ask you to trust a site you have never heard of.
2026年9月15日 · 5 分で読めますGive Your Agent Superpowers with Intelligent Storage
Every document your team touches a credit memo, a trade confirmation, a thousand-page data room gets automatically indexed, summarized, and made queryable the moment it lands in Scalata.
2026年9月11日 · 5 分で読めますBefore Your Agent Can Reason, It Has to Agree on What Words Mean
Ask anyone who has run a data integration project at a financial institution what actually ate the timeline, and it's rarely the connection itself. It's the translation.
2026年9月2日 · 4 分で読めますThe Model Isn't the Product. Control Over the Model Is.
Every AI platform will tell you which foundation models it supports. Fewer will tell you why that list matters — and almost none will tell you what happens after you pick one: who controls the spend, who controls the routing, and who's accountable when a model makes a call your compliance team has to answer for.
2026年8月27日 · 5 分で読めますYour Data Has Been Waiting for This
For twenty years, integration has meant custom connectors, engineering time, and brittle systems. Scalata's Data Marketplace changes that by giving AI agents governed, intelligent access to the systems and data institutions already depend on.
2026年8月20日 · 6 分で読めますFrom Prompt to Polished Report: How Scalata's Document AI Builds PDF and Word Documents You Can Actually Trust
Every institutional finance team knows the drill. The analysis is done, the numbers are validated, and then the real work begins: turning it all into a client-ready document.
2026年8月3日 · 7 分で読めますCracking the Tape: Gen AI and the Legacy Data Liberation Movement
Decades of valuable financial data remain trapped in legacy formats that modern systems cannot understand. Gen AI is changing that by reconstructing schemas, interpreting historical records, and making forgotten data usable again.
2026年7月22日 · 6 分で読めますAgentic Document AI: Reports That Manage Themselves
Document AI transforms reports into governed, automated workflows—handling distribution, scheduling, approvals, printing, and system integrations so reporting becomes a continuous operation instead of a manual process.
2026年7月22日 · 5 分で読めますThe Financial Agent Advantage: Why Table AI Wins Where Others Fail
Most AI data platforms work only when financial data is already clean, structured, and connected. Table AI combines schema intelligence, financial-domain expertise, write-back capabilities, and auditable agents to operate across complex financial data environments.
2026年6月26日 · 8 分で読めますThe Living Data Dictionary: Gen AI and the Future of Schema Management
Static data dictionaries cannot keep pace with modern financial systems. Gen AI schema management creates a living, self-updating knowledge base that documents data, tracks changes, and strengthens governance in real time.
2026年6月22日 · 6 分で読めますApplying Gen AI LLMs Inside Your Data: The Intelligence Layer That Changes Everything
Embedded Gen AI transforms financial data into an intelligent, self-describing, and continuously improving foundation that identifies risk, validates information, and creates structured insights at the moment data enters the organization.
2026年6月18日 · 6 分で読めますThe Python Agent Advantage: Complex Logic, Machine Learning, and the Art of the Alias
Large language models understand intent, but Python agents execute the deterministic logic financial institutions require. Together they enable auditable, intelligent financial data processing at scale.
2026年6月15日 · 5 分で読めますAgentic Document AI: The AI Decks That Look Like Your Firm Built Them
Document AI generates fully branded, editable PowerPoint presentations that follow your firm's templates, styling, and workflows—turning hours of formatting into minutes of review.
2026年6月10日 · 4 分で読めますThe Data Complexity Crisis in Finance
Financial institutions spend billions reconciling fragmented data across legacy systems. Table AI introduces semantic schema intelligence that understands financial data rather than simply moving it.
2026年6月9日 · 5 分で読めますSix Conversations We Have With Every New Customer
The first ninety days of an AI deployment reveal the same six organizational questions about ownership, escalation, permissions, cross-team use, compliance, and scaling digital employees.
2026年6月1日 · 7 分で読めますOnboarding a Digital Employee: Why It's Nothing Like Deploying Software
Digital employees need more than technical configuration. They require defined roles, managers, permissions, handoffs, and escalation paths before they can operate safely and effectively inside an organization.
2026年5月26日 · 7 分で読めますMapping the Work: How a Workforce Graph Handles Tasks, Handoffs, and the Messy Middle
AI agents are only as effective as the workflows they operate within. A workforce graph transforms tasks, handoffs, and escalations into structured, queryable infrastructure that allows humans and digital employees to work together seamlessly.
2026年5月13日 · 8 分で読めますYour Org Chart Is a Lie: Why Graph Technology Is the Right Substrate for the Modern Workforce
Traditional org charts capture only a fraction of how modern organizations actually operate. Workforce graphs provide the foundation for managing both human and digital employees in complex, regulated enterprises.
2026年5月8日 · 7 分で読めますMeet the Digital Employee: What Happens When AI Gets a Seat on the Org Chart
A new category of worker is emerging—one that owns a role, not just answers a question. Here's what changes when AI gets a place on the org chart.
2026年5月6日 · 5 分で読めますFrom Co-Pilots to Digital Employees: Why Agentic AI Is the Next Shift in Financial Services
AI in finance is evolving from assistive co-pilots to autonomous digital employees. The next generation of financial AI will execute workflows continuously, concurrently, and under institutional governance.
2026年4月29日 · 7 分で読めますAlphaSense vs Hebbia vs Perplexity Computer — Why Financial Institutions Still Hit a Wall
AlphaSense, Hebbia, and Perplexity Computer have transformed financial research and agentic deliverable creation, but institutions still face a critical last-mile challenge: integrating AI into persistent, governed, and controlled operational systems.
2026年4月27日 · 7 分で読めますThe Race to Own Financial Research: Grid AI Platforms Are Converging — But the Real Differentiator Is Execution
Grid AI platforms are rapidly converging around document analysis and agentic research. The next competitive frontier is execution: persistent workflows, concurrent AI agents, and governance-ready financial infrastructure.
2026年4月21日 · 6 分で読めますScalata AI Has Its Own Agentic Grid AI That Will Define the Next Era of Financial Infrastructure
Grid AI transformed document analysis, but the next generation of financial AI will combine interactive document intelligence, agentic workflows, and governance-ready infrastructure.
2026年4月6日 · 2 分で読めますGrid AI Shows the Future of Document Analysis for Research and Due Diligence Purposes — But Financial AI Requires Interactive, Governed Systems
Grid AI has transformed document analysis for financial professionals, but the next generation of financial AI will be built on interactive workflows, continuous inference, and governance-ready infrastructure.
2026年4月1日 · 3 分で読めますGrid AI Is Transforming Financial Research — But Workflow Intelligence and Governance Will Determine What Actually Scales
Grid AI has changed how financial professionals analyze information, but the next generation of AI platforms will be defined by workflow intelligence, governance, and agentic execution—not document search alone.
2026年3月24日 · 4 分で読めますCompliance-First AI Is Becoming the Standard in Financial Services
As AI regulation accelerates across global financial markets, institutions are shifting toward compliance-first AI platforms that embed governance, transparency, and auditability from the ground up.
2026年3月19日 · 3 分で読めますAI Policy Frameworks Are Becoming Mandatory for Financial Institutions
Financial institutions are moving beyond AI experimentation and establishing formal governance frameworks that ensure AI is secure, auditable, and compliant across the enterprise.
2026年3月17日 · 3 分で読めますAI Policies & Guardrails in Financial Services: Why Compliance and Governance Must Come Before Scaling AI
AI adoption in financial services isn't about deploying the most powerful models—it's about building governance, compliance, and explainability into every workflow from day one.
2026年3月13日 · 3 分で読めますFrom Compliance Burden to Strategic Advantage
Risk management and compliance are no longer just regulatory obligations. Discover how AI-powered workflows are transforming compliance into a strategic advantage for modern financial institutions.
2026年2月20日 · 4 分で読めますScalata Deep Research Release: What AI-Native Financial Analysis Looks Like
Institutional finance demands more than AI-generated summaries. Deep Research delivers structured, source-grounded financial analysis built for credit, risk, and market professionals.
2026年2月10日 · 4 分で読めますThe Intelligence Integration Problem Every Exchange Is Solving
Modern exchanges are transforming client analytics, operations, and market structure analysis into a unified intelligence infrastructure. Here's why integrated AI matters more than isolated automation.
2026年1月28日 · 5 分で読めます