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3 published
From live tools to research in progress.

Fig. 03 — Portfolio

Projects — Portfolio

Tools built forthe end user.

We build software where we've felt the gap ourselves: tools that integrate into existing stacks, don't require vendor lock-in, and are designed to be owned by the engineers using them.

§ 01 — Project

Live

generate-data.com

Synthetic test data for systems that fail on tidy demos.

generate-data.com is a synthetic test data platform for teams evaluating matching, scoring, and other intelligent systems. Unlike generic faker tools, you can configure quality characteristics such as exact duplicates, fuzzy duplicates, and realistic field-level variation, so test datasets look like the messy production inputs your models and pipelines will see. That makes regression suites and QA datasets honest about failure modes tidy unique rows would hide.

The problem it solves

Most synthetic generators invent clean, unique rows. Matching systems, quality scorers, and evaluation harnesses fail on duplicates, typos, and field-level drift. If your tests never inject that mess, they pass while production still breaks. generate-data treats input quality as configuration, not an afterthought script.

Key capabilities
  • Schema modeling with configurable field types
  • Adjustable data quality levels per field
  • Exact and fuzzy duplicate injection with Master ID and Duplicate Type columns for record-linkage testing
  • Export to CSV, JSON, XML, Parquet, JSONL, and HuggingFace dataset formats
  • API access for programmatic data generation, with API keys
  • AI-assisted schema generation, up to 1,000 AI-generated rows per batch (Premium)
  • Catalog of free pre-built datasets
  • Free and Premium tiers
Who it's for

Engineers and researchers testing matching and quality systems. QA teams building regression datasets for intelligent pipelines.

§ 02 — Project

In development

skailr.io

Scale intelligence. Orchestrate anything.

Multi-agent systems that think ahead — routing, planning, and adapting without you asking. skailr orchestrates multi-agent workloads for teams that need autonomy without losing observability. Pre-launch, waitlist-gated.

Key capabilities
  • Composable agent graphs
  • Multi-agent framework under the hood
  • Observable by default
  • Routing that adapts in situ
Who it's for

Teams building agentic products and internal automation who need a platform to deploy, manage, and evolve multi-agent workflows in production.

§ 03 — Project

In development

olios.io

Agentic financial intelligence.

Olios is an agentic, ontology-based financial intelligence platform. Start with ontology-linked intelligence you can subscribe to: structured, queryable insight feeds ready to plug into your research and decision workflows. Portfolio management and trading strategies build on the same foundation next. Pre-launch, public waitlist.

Key capabilities
  • Ontology-based financial intelligence and insight feeds
  • Structured, queryable data subscription products, available today
  • Portfolio management and trading strategy execution on the same foundation, coming next
Who it's for

Research and investment teams who want structured, queryable financial intelligence they can subscribe to and build on.

How we build

Tools that belong in the stack, not on top of it.

Every project in the Smith Advanced Systems portfolio starts from the same design principle: it should integrate into the systems teams already run rather than forcing a rebuild around a black box. We expose the logic so teams can own it. We design for operators first, and we ship research tools and software meant to be adopted like any other piece of stack they control.