Meeting notes that go nowhere
The call ends. Everyone walks away with a different version of what was decided. By Thursday, the action items are someone's problem and nobody's priority.
An AI software lab
Most small businesses lose 15 to 25 hours a week to administrative work. We build tools that give that time back — alongside better processes, smarter strategy, and accelerated learning and action.
The problem we're working on
The call ends. Everyone walks away with a different version of what was decided. By Thursday, the action items are someone's problem and nobody's priority.
The next step was clear at two o'clock. Then something urgent moved it. By morning, the momentum from that call is gone.
Notes in one app. CRM in another. Follow-up email in a third. You are the integration layer, and that job appears on no org chart.
Triage takes the first hour. Something urgent takes the second. The work you came here to do starts at noon, if it starts at all.
The client relationship that deserves a real conversation. The proposal still sitting in drafts. The idea that's been waiting six weeks for an hour. The week fills up before it ever gets there.
A deal starts stalling. A client goes quiet. The signal is in the data — but nobody has time to look until it's a problem instead of a pattern.
The information exists. It's scattered across emails, notes, and three different apps. By the time someone assembles it, the decision window has already moved.
The CRM says one thing. The rep's update says another. The board meeting surfaces a third. Nobody's wrong — they're all working from different data.
Twenty client conversations happened last month. The insights are in there — what's working, what's stalling, where the next opportunity is. Nobody has time to find them.
The quarterly review shows what went wrong three months ago. Between reviews, the business runs on instinct and recency bias. By the time the data confirms what everyone suspected, the window has closed.
What's live
What the methodology looks like when it ships. Two products in the world, built the same way we'd want tools built for us.
Meeting intelligence that writes the CRM notes for you.
Salespeople and account managers spend hours every week on notes nobody enjoys writing. Traverse listens to the meeting, identifies action items and decisions, drafts the CRM update, and hands it to the rep for a thumbs-up. Better notes, faster. Less of your day spent on data entry. More time on the conversations that matter.
Traverse does more than that. It ingests the team's email and documents, makes them searchable across the team and surfaces customer, competitor and opportunity insights inside the notes reps are already writing. The team gets compounding learning: a quiet record of which relationships are warming, which upsells worked, what a key customer just did. Each rep sees their most important deals at a glance and can plan the next move with context, drawing on the company's internal knowledge base, external news and external business intelligence sources.
Strategy — sales is where the hours leak first. AI — meeting intelligence that fits how reps already work. Intelligence — customer, competitor and opportunity insights surfaced inside the notes. Learning — the team gets a compounding record of what is warming, what is closing, what is at risk.
Academic research acceleration for small teams.
Omira is the tool we built inside the lab to run our own research, now opening up for small teams. It helps researchers discover, organize, review and store academic papers and citations through manual or autonomous workflows. Drive every step yourself, or hand a research question to Omira and review what it brings back. Either way, your library stays organized and your citations stay portable.
Some days the work is careful: read this paper, pull this quote, trace the citation upstream. Other days it is wide: map the field, find the outliers, surface what the last six months of literature is saying. Omira handles both — without the Tuesday afternoon you lost to copy-paste. It integrates fully with Zotero, the free, easy-to-use citation manager used by researchers worldwide, so your library moves with you in the format your institution already trusts.
AI — manual or autonomous workflows; the operator picks. Intelligence — discovery, organization, review and storage across academic literature. Learning — the library stays organized and the team's research practice improves over time.
Also in the lab
SAIL applied to the lab itself. Built for our own use first — honest staging: internal tools and research projects, not products being sold to you today.
Persistent memory infrastructure for AI agents. A memory layer agents can read and write without shipping customer data somewhere it shouldn't go.
Server for generation, embedding, classification and summarization. Not everything needs a frontier model.
Project tooling integration with built-in workflow patterns. Agents that open the ticket, assign the owner and set the due date instead of asking you to.
Identity, authorization and audit infrastructure for autonomous agents. Policy, audit trails and reversibility for agents doing real work in real systems.
Documentation generators, conformity assessment templates and transparency reporting aligned to the EU AI Act. The boring part of AI that still has to get done.
Agentic customer relationship platform. The minimal CRM we built for ourselves because every other one was either too much or not enough.
How we work
Strategy. AI. Intelligence. Learning. HyperGlyph's SAIL method: four pillars that shape every engagement and every system we build.
Revenue-first Strategy.
Every engagement starts with what your business needs to earn or save — not with what AI can do. Where would more time, better information or a sharper system show up in your top or bottom line?
Human-centered AI.
The technology fits how the team already works. No 30-minute setup before the tool earns anything. No workflow change before the value shows up. AI as a means to a strategic end, not the end itself.
Business Intelligence.
Surface what you or your team needs to know without asking. Email, documents, meeting notes, customer history. News, market signals, competitor activity. The system pays attention for you.
Learning-enabled Systems.
The work compounds. Each meeting, customer interaction and decision teaches the system something. The team gets sharper because the tool is keeping a quiet record of what worked.
If we cannot explain what a product or an engagement does in language a small business owner uses, we have not finished building it. That is our problem to solve, not yours to translate.
Your data is yours. Your workflows are yours. If a HyperGlyph product or engagement stops earning its place, you can take out everything you put in. We design for that day, even though we hope it does not come.
No "starting at" hiding the actual number. No usage cliffs that tax you for success. No surprise renewals. When pricing changes, you hear about it before your card does.
Who we are
HyperGlyph Systems is an AI software lab.
Two decades of human-centered design experience, plus Silicon Valley startup and business leadership and an ongoing research agenda on AI adoption sit behind every line of code we ship and every assessment we run.
We don't build features. We build better ways to work.
Your next move
The three-step Plan. Step one is free. The next two earn their place.
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