Your decisions are only as good as the information they rest on. When AI tools repeat propaganda, when critical evidence disappears before verification, when manipulation costs less than research – the substrate fails. Symphoria restores it.
A learning company. Intelligence Advisors with backgrounds in
Reality generates edge cases faster than law can address them. Courts take years. Journalism takes weeks. Corporate fraud takes hours. By the time institutions respond, the evidence has been deleted.
By the time courts rule on Cambridge Analytica, TikTok weaponizes the same techniques at 100x scale. The Pravda network infected 10 leading AI tools with 3.6M propaganda pieces.
Meta suppressed 1,050+ posts about Palestine in one month. YouTube erased 700 videos of human rights violations overnight. Thousands of Syria war-crimes videos auto-deleted since 2017. The Wayback Machine is being blocked.
Traditional institutions were designed when evidence was scarce, records durable, manipulation expensive. Now deletion is free, AI synthesis is instant, and change is exponential.
"Infrastructure that operates at the speed of entropy — without abandoning human judgment."
We don't replace courts, journalism, or regulation. We're the substrate they depend on to remain functional in a machine-speed world.
Information that is rare — not in common circulation. High-impact — dramatically changes valuation or risk assessment. Non-obvious in real-time — hidden in noise, contradictions, or deleted sources. The first actor to find it captures outsized returns; everyone who finds it later gets commoditized information.
CEO's undisclosed conflict of interest that emerges only when you cross-reference deleted LinkedIn profiles with shell company registrations across jurisdictions.
Regulatory violations in foreign subsidiaries — local reporting existed but was suppressed. Web archives show deleted government notices that standard DD misses.
Same entity reports different numbers in EU filings vs US filings — different accounting standards, discoverable only by cross-referencing regulatory databases in multiple languages.
Founder's history at previous startup shows evidence of fraud in archived forum posts, deleted news articles, and contradictory SEC filings — current background checks miss it.
Most systems treat claims as true or false, consistent or contradictory. Reality is directional — the same claim can be true in one jurisdiction, false in another; consistent at T₁, contradictory at T₂.
Logical: Claim A directly negates Claim B. Temporal: Source changed their story between T₁ and T₂. Jurisdictional: Different numbers in different regulatory filings. Federative: Human sources say X, AI-amplified sources say Y.
Every piece of intelligence is cryptographically anchored with source, timestamp, and content hash. When a webpage disappears, when a profile is scrubbed, when a filing is amended — you have the original with proof it existed at time T.
Track how claims flow through agent federations — networks of human and AI actors. See who amplified it, who suppressed it, which AI models have it in their training data, what RLHF preferences shaped outputs.
Same person, company, or asset appears differently across jurisdictions and languages. We resolve identities, enrich with corporate data (employees, revenue, organizational structure), and flag shell companies, undisclosed beneficial owners, and sanctioned entities. When PE Firm A investigates Company X, and Law Firm B investigates Company Y, patterns emerge that neither would see alone. Privacy-preserving learning creates collective investigation intelligence.
Symphoria’s chat interface offers an intuitive, interactive experience for legal professionals, powered by agentic workflows. Each hypothesis is managed by a dedicated Case Manager agent, ensuring seamless case management and thorough, focused investigations
Case Managers perform advanced data analysis to uncover patterns and insights, while also providing interactive visualizations and mapping of relevant nodes and relationships to enhance understanding and support informed decisions.
Case Managers search and integrate data from databases and the web automatically and on request, continuously updating and refining hypotheses with the latest and most relevant information to enhance the depth and accuracy of investigations.
The pinnacle of Symphoria's capabilities lies in Hypothesis Modeling — transforming verified data into defensible narratives. Not just what happened, but a coherent story of how, when, and why that can withstand scrutiny in court, boardroom, or regulatory hearing.
Agents deeply analyze materials flagged as highly suspicious, using context-driven insights to piece together critical information. This process identifies patterns and connections that may indicate illegal activity or contractual breaches
Materials are reviewed in various orders to uncover hidden narratives and connections that may not be evident in a linear review. Agents then construct a working narrative, forming a hypothesis that ties together all identified elements into a cohesive story, aiding in legal preparation
As new data is incorporated, agents continuously refine their hypotheses, ensuring that the narrative remains accurate and relevant. This ongoing process allows for adaptation to new information and evolving case dynamics
Additional information ingested through chat or any other data source is automatically analyzed and reflected in case reports. You can also edit and format these reports in the desired format (EDD, SAR, 8300 and etc.)
Report generation is significantly faster than other solutions, using parallelization to produce up to 26 reports simultaneously. You can also edit these reports at any time for greater flexibility.
Automatically generate AI-driven task lists and case notes, streamlining your workflow by capturing key details and organizing them for easy reference and action.
Easily create document requests with pre-defined AI queries, allow clients to securely upload files, review the results, and approve or download the final documents once everything meets your requirements.
Symphoria doesn't investigate for you — it makes you superhuman. Whether you're a journalist, activist, researcher, citizen, or analyst, the platform gives you capabilities that were once reserved for intelligence agencies and elite consulting firms.
The AI surfaces contradictions at machine speed. You decide what they mean. The conclusions are always yours.
"Every citizen should have the investigative power to challenge any claim by any authority. That's not a feature — it's the premise of democracy."
You bring the context — what matters in your community, your industry, your beat. The platform brings the data, the contradictions, and the temporal evidence you couldn't find alone.
We surface contradictions. We don't decide what's true. Not everything that can be revealed should be revealed the same way — that judgment belongs to you.
Every investigation on the platform improves the model for all users. When a journalist in Kyiv and a researcher in São Paulo investigate similar patterns, the platform learns — without sharing anyone's data.
We sell to institutions that need decision-grade intelligence — where the cost of missing Black Swan Data exceeds the cost of finding it by orders of magnitude.
Investigation infrastructure shouldn't be reserved for those who can afford $30K per deal. Start for free. Scale when you're ready.
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Pre-acquisition due diligence on a $200M SaaS target. Standard analysis looks clean: strong growth metrics, favorable press, clean audits. Your Intelligence Advisor initiates investigation.
A local journalist investigates a city government's $45M infrastructure contract after residents report deteriorating roads despite record spending. Official reports show the project is on-track and within budget.
Most investigation tools treat each case as isolated. Symphoria treats every investigation as training data for collective intelligence. The moat isn't data—it's learning loops.
"The best investigation tool is one that learns from every investigation ever run—without compromising anyone's confidentiality."
Choose the deployment model that matches your security requirements. For the most sensitive operations, run Symphoria entirely within your own infrastructure.
Why on-premise matters: If the substrate problem includes AI poisoning at scale, relying solely on external AI providers reintroduces the vulnerability you're trying to escape. On-premise SLMs let you verify the model itself.
Intelligence requires State. Without a shared, immutable reference frame, autonomous agents are just hallucinations moving at the speed of light.
Actuators / Dynamic Will — Trading bots, research agents, autonomous systems that execute decisions
Intelligence / Static Potential — LLMs, foundation models that reason and predict
State / The Reference Frame — Cryptographically anchored evidence that grounds agents in reality
The Loop Breaker. Your agents act in milliseconds. They don't have time to read 10 years of archives. Symphoria returns decision-grade provenance in 120ms.
"Those that changed themselves, changed the world."
Memory before metrics. The internet now pays attention in clicks, tokens, and agent calls, but truth still depends on memory. Metrics are negotiable; a cryptographically anchored past is not.
Evidence must outlive platforms. When the same systems that host public discourse also erase it, democracy, markets, and law become rituals on top of disappearing ledgers.
Agents deserve accountable inputs. AI assistants and autonomous agents already act on our data. Without a preserved evidentiary layer, they operationalize propaganda as if it were fact. Symphoria exists so that agents, like humans, can be held to what actually happened.
Human judgment sets the constitution. AI can sift and flag at machine speed, but only Intelligence Advisors can decide what a contradiction means in law, risk, or ethics. The AI makes Advisors superhuman; Advisors make the AI constitutional.
We surface contradictions for a multi-traffic web. In a world of human browsing, AI citations, and agent actions, the same claim can be true in a PR deck, false in a regulatory filing, and weaponized in model outputs. We fix a timeline of what was said, where, and how it changed.
The Fifth Estate is memory infrastructure. The press was built for scarcity of information. The Fifth Estate is built for scarcity of trustworthy memory: a federated, cryptographically anchored layer that both humans and AI can query without asking any single platform for permission.
Every democracy rests on three capacities: representation, adjudication, and information. The press — the Fourth Estate — was built for an era of scarcity. Today's environment requires something new: the Fifth Estate — infrastructure that secures the evidentiary foundations upon which democratic judgment depends.
We answer the difficult questions about what we're building and why it matters.
We don't decide what's true. We surface contradictions and preserve evidence. The judgment remains with humans.
When a company's SEC filing says one thing and their investor deck says another, that's not interpretation — it's a fact. When a website removes a page, that's an event, not an editorial choice. We capture and surface; we don't arbitrate.
Our Intelligence Advisors don't tell you what to believe. They show you what exists, what changed, and what contradicts what. The conclusions are yours.
The surveillance infrastructure already exists. We're building counter-surveillance.
Right now, powerful entities can erase their digital trail while tracking yours. They have institutional memory; you have whatever Google's algorithm decides to show you. The asymmetry is already authoritarian in practice.
Symphoria inverts this: we make the powerful accountable to evidence they can't delete. And the federated architecture means no single entity — including us — can weaponize the system.
This misunderstands what we're building. We're not adding information — we're adding contradiction detection and temporal context.
The problem isn't that you lack data. The problem is that without preservation, you can't distinguish signal from noise because the signal gets deleted and the noise remains. Our Intelligence Advisors don't give you more; they give you more coherent.
A PE firm doesn't want 10,000 documents. They want to know: "Did the retention metrics change, and if so, why?" That's a needle-in-haystack problem, but the haystack keeps burning.
ChatGPT can summarize. Symphoria can prove.
Ask ChatGPT what a company's retention rate was last year, and you'll get a confident answer based on whatever was in its training data — which might be the manipulated marketing version. Ask Symphoria, and you'll get: "Here's the SEC filing from March 2023, here's the investor deck from June 2023, here's how the definition changed."
Our moat is temporal provenance: what existed when, what changed, what contradicts what. LLMs are trained on snapshots. We track the delta.
The question assumes "digging up dirt" is bad. If the dirt exists, someone should find it. If it doesn't exist, Symphoria can't fabricate it.
What Symphoria doesn't do: generate claims, editorialize, or create false associations. What it does: find contradictions in public or licensed data. If a politician said something contradictory, that's not "dirt" — it's accountability.
The deeper answer: information asymmetry favors incumbents. Those with power can currently suppress unflattering history. Universal evidence access levels that playing field.
Palantir integrates your data. Symphoria surfaces data you don't have access to — and couldn't get because it was deleted, never archived, or exists only in contradictory fragments across jurisdictions.
Palantir's value prop is: "Give us your data, we'll analyze it." Ours is: "We've already captured the data you didn't know to look for, and we can prove what existed when."
More importantly: Palantir centralizes. Our federated architecture means no single entity owns the truth. That's a feature, not a limitation.
Because Symphoria is a learning company, not a software product that happens to employ humans.
Intelligence Advisors provide what AI can't: domain expertise to recognize which contradictions matter in context, ethical judgment on how information should be surfaced, and institutional credibility that makes our findings actionable in boardrooms and courtrooms.
In anti-trafficking work, an AI can flag suspicious patterns. But understanding whether that pattern represents an actual network — and navigating the legal, ethical, and operational complexity of acting on that intelligence — requires human judgment.
The AI makes our Intelligence Advisors superhuman. The Intelligence Advisors make the AI constitutional.
From profitable product to essential protocol. Building revenue first, then opening the infrastructure.
Build revenue through Black Swan Data services. PE/VC due diligence, hedge fund intelligence feeds, investigative journalism support.
Open the evidence layer. Allow third parties to contribute preservation nodes, run their own Intelligence Advisors, access shared provenance.
Achieve institutional legitimacy as epistemic infrastructure. The Fifth Estate becomes as essential as courts or journalism.
"We're not building a company that might become infrastructure. We're building infrastructure that starts as a company — because that's the path that can achieve escape velocity."
Beyond Corporate Intelligence
We start where the pain is acute and the value measurable. But the infrastructure we're building serves any institution that depends on truth.
Source verification. Evidence recovery. Stories that can't be silenced.
Evidentiary standards for a digital age. Chains of custody that hold.
Records that outlive those who would erase them.
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