About Altira
Specific Tools For Work That Needs A Record
Altira is founded by Ryan Jameson. The company builds compliance and intelligence software for teams whose real work happens in email, PDFs, spreadsheets, and review meetings — and whose existing tools do not keep up with the decisions, evidence, and follow-up that work requires.
What The Products Have In Common
Each Altira product targets a different domain, but they all start from the same observation: the workflow already exists, the tools around it are wrong, and the record that should survive the work usually does not.
The Workflow Comes First
Signal did not start as a screening API. It started with what happens after a possible hit appears — explaining a false positive, recording a disposition, watching a subject over time. Trace did not start as a task manager. It started with what breaks when a small RIA tries to sequence launch, run obligations, and stay exam-ready without a dedicated compliance team. The products are shaped by the work, not the other way around.
The Record Has To Hold Up
Compliance teams get examined. Research analysts get asked to show their work. In both cases, the question is the same: what decision was made, what source material supported it, who owned the next step, and what changed. Signal keeps a chronological audit trail with SHA-256 receipts. Resilience closes operator-reviewed evidence packages. Trace ties obligations to evidence and ownership. The record is not an afterthought — it is the product.
Specificity Over Platform
Altira does not build horizontal software that tries to serve every team. Sanctions screening is not RIA compliance. Tabletop exercises are not startup intelligence. Each product earns its specificity by modeling the actual domain — firm profiles that drive obligations, screening sources with change tracking, exercises that trace back to real operating documents. Generic tools cannot do this without heavy configuration that small teams will not maintain.
Why Compliance And Intelligence
RegTech
The compliance software market splits into two failure modes. On one end, firms use task managers, spreadsheets, and calendar reminders dressed up as compliance tools — functional but no audit trail, no evidence attachment, no domain logic. On the other end, enterprise compliance platforms cost six figures, take months to configure, and assume a dedicated team to run them. Small and mid-size regulated firms — the ones with a CCO who is also the COO — get neither option right. That is where Altira builds: specific enough to model the real workflow, light enough to actually get used.
Intelligence
Private-market research is noisy in a specific way. The first useful signal about a company often shows up in a podcast transcript, a launch tweet, a hiring pattern, or a throwaway comment in a media broadcast — not in a database. By the time someone revisits the story, the claims, links, and source context have scattered across tabs, notes, and half-finished documents. The opportunity is not finding more content. It is making the research session leave behind a structured record where claims stay tied to sources and the evidence trail does not fall apart between sessions.
Architecture
Altira is early-stage and founder-operated. The stack is built for fast iteration and low operational overhead across multiple production products.
Cloudflare Workers, D1, R2, Queues
Signal's public screening API, contact and request-access endpoints, and static product surfaces run on Cloudflare Workers. D1 handles structured data at the edge. R2 handles object storage. Queues handle async processing for batch screening. Deploys take seconds with no server fleet or scaling configuration.
TypeScript, React, Shared Types
TypeScript runs across the full stack — React frontends, Workers on the edge, shared type definitions and validation across service boundaries. Shared types between client and server catch integration drift at build time rather than in production.
Next.js, Prisma, Postgres
Products with complex relational data — Trace's obligation engine, Signal's workspace with screening history and review state — run on Next.js with Prisma and Postgres. The split is per-product: complex relational queries go to Prisma/Postgres, read-heavy and latency-sensitive workloads go to Workers/D1.
AI
AI is part of the shipped products and part of how they are built.
In The Products
Signal uses AI to generate false-positive screening narratives. Resilience uses AI markdown extraction and AI vision to process uploaded source documents, and tracks which extraction method was used so the evidence lineage is auditable. Wire's claim architecture includes truth-type classification — confirmed fact, media-derived narrative, or model-only inference — enforced at the schema layer.
In The Development Process
AI-assisted research, prototyping, code generation, code review, schema design, test generation, and iteration are standard parts of the Altira development workflow.
Get In Touch
If you want to talk about the products, the technical approach, or potential opportunities, reach out directly.
RegTech: Signal · Trace · Resilience • Intelligence: Wire (in development)