ogram
ogram turns frontier model capability into purpose-built extraction systems for operators and principals. It connects to real data, runs against real sources, and returns verified intelligence on the questions that matter.
ASIC Logic
A general-purpose model is raw capability: powerful, flexible, and expensive when the target is a narrow, high-value research formation. ogram works more like an ASIC miner. We integrate the model layer, domain APIs, agentic harnesses, and task logic into one tightly coupled pipeline tuned to a specific vein of data. That is how you move from generic statistical fluency to repeatable extraction advantage.
01
Raw LLMLLMLarge language model trained on large text corpora to predict tokens and generate language. capability. Broad, impressive, and useful across many tasks, but inefficient when the objective is a precise line of extraction.
02
A purpose-built pipeline: SOTA LLMsLLMLarge language model trained on large text corpora to predict tokens and generate language., specific APIs, customised agentic harnesses, and domain logic wired into one extraction system.
03
A bounded data domain such as legal documents, financial filings, social sentiment, supply-chain signals, or internal company memory.
R&D / IP
Our edge is not only deployment. It is ongoing research into how models fail, how compute changes outcomes, and how qualitative material becomes machine-readable signal.
01
From statistics to reality. We treat hallucination not only as a failure mode to suppress, but as a way to map uncertainty, contradiction, and latent risk across a formation.
02
Some difficult questions do not yield to prompt polish. They yield to more search, more decomposition, more reruns, and more compute directed at the task until the answer stabilizes.
03
Perplexity-style systems parallelize breadth-first search. ogram pushes recursive, parallelized depth-first expansion on each promising branch so inquiry compounds instead of flattening into surface consensus.
04
We apply pattern recognition to qualitative and alphanumeric material: clauses, identifiers, document drift, entity behavior, transaction traces, and other non-visual signals with repeatable structure.
Operational Profiles
Same product core. Different data surfaces, methodologies, and tempo.
ogram consigliere
Inspired by the Sicilian consigliere archetype, this instance connects to client-native systems such as email, drives, calendars, and meeting traces to return precise situational context.
Connectors
Gmail and Outlook, Google Drive and SharePoint, calendar streams, CRM records.
Methods
entity graphing, relationship timelines, and contradiction detection.
Output
decision memos, stakeholder maps, and priority briefs.
ogram blade runner
Blade Runner is configured for open-source intelligence across public records, media, and network traces. It isolates weak signals early and escalates only verified movements.
Connectors
public registries, sanctions lists, leaks archives, open media, geospatial traces.
Methods
cross-source validation, attribution scoring, and anomaly clustering.
Output
watchlists, threat briefs, and geopolitical or reputational alerts.
ogram
You have the ideas and the means.
ogram gives you the machinery.
ogram — Switzerland — 2026