Artificial Research Intelligence
Research agents that move from literature and hypotheses to experiments, verification, and reproducible scientific outputs.
Uniflow
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Fundamental research
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Projects
Research that moves from first principles to real-world systems.
Uniflow combines deep scientific research, proprietary computational infrastructure, and focused projects designed to create practical industrial and therapeutic outcomes.
Canada·Building long-term scientific capabilities
Fundamental research
Uniflow Labs
Our research arm builds the scientific and computational foundations needed to investigate difficult problems across disciplines.
C* equations-native language
A proprietary language with dimensional types for expressing scientific models and compiling them to multiple execution environments.
Integrated simulation
A self-contained execution engine for running experiments with complete environment capture and reproducibility guarantees.
Proof-backed science
Every result carries an auditable chain connecting claims to evidence, code, data, and the environment that produced it.
From knowledge to capability
Uniflow Labs does not treat research as a presentation layer. It builds durable methods, software, models, and experimental evidence that can support long-horizon projects.
Shared research infrastructure
- ✓C* compiler and dimensional type system
- ✓Integrated simulation engine
- ✓Research-agent orchestration
- ✓Provenance and verification pipeline
Projects
Where research becomes implementation
We develop focused projects in fields where deeper science can unlock new industrial and societal value.
Research infrastructure
A platform for verifiable science
Our vertically integrated stack connects equations, simulation, research agents, evidence, and final outputs.
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C* Language
Equations-native syntax, dimensional types, and multiple target runtimes.
2
Simulation Engine
Self-contained experiment execution with reproducible environments.
3
Verification
Proof-backed claims, regression gates, and complete provenance trails.
From hypothesis to verified result
- 1 Ground hypotheses in traceable scientific evidence
- 2 Express models and constraints in typed scientific structures
- 3 Run and observe experiments in captured environments
- 4 Verify claims before producing citable outputs
Careers at Uniflow
Open roles
Join the team building fundamental research infrastructure and turning science into real projects.
Founding Engineer - AI/ML
Mission: Build the AI agents that drive autonomous research — from hypothesis generation to experiment design to verified paper drafting across multiple domains.
What you'll own:
- Research agent pipeline (hypothesis → experiment → verification → paper)
- RAG infrastructure for literature survey with provenance tracking
- Claim validation and regression verification
PythonLLMsDeep LearningRAGML Infrastructure
Toronto, ON (Hybrid)
Founding Engineer - Platform
Mission: Build the execution substrate in Rust — deterministic experiment runs, provenance tracking, and tool orchestration via MCP.
What you'll own:
- Experiment execution engine + reproducibility guarantees
- Provenance chain and verification pipeline
- Tool orchestration layer (MCP integration)
RustC#Distributed SystemsState MachinesPerformance
Toronto, ON (Hybrid)
Product Engineer - User Experience
Mission: Own the researcher-facing UX — interactive experiment dashboards, provenance explorers, and paper review interfaces.
What you'll own:
- Research dashboard and experiment monitoring UI
- Provenance explorer and claim-chain visualization
- Paper review and annotation interfaces
TypeScriptReactUX/UI DesignDesign SystemsAccessibility
Toronto, ON (Hybrid)
Engineering principles
✓Document major decisions
✓Reproducibility over shortcuts
✓Provenance and observability by default
Contact Uniflow
Start a conversation
Interested in research, a project, investment, or joining the team? Send us a message.
Location
67 Mowat Avenue #530
Toronto, ON, Canada