Primary focus
Finance-native AI infrastructure
Systems that monitor inputs, classify context, and produce structured intelligence for capital workflows.
Finance-native intelligence platform
Structured intelligence for capital decisions
AugmentGo builds finance-native systems that transform fragmented market, research, and workflow inputs into decision-ready output.
Most tools add more dashboards. AugmentGo creates structured signal.
- Operator controls
- HITL gates
- Structured output
- Capital workflows
Market context
Regime and signal interpretation
Cleaner market context, session bias, and structured updates that help investors understand what matters.
Platform control
Operator controls and validation
HITL gates, simulation checks, governance logic, and cloud infrastructure designed for responsible use.
SERVICES
Custom AI systems and automation
Finance-native by design. Built from scratch for how you actually operate — and deployable wherever complex decisions need better infrastructure.
Custom AI Systems
We design and build finance-native AI from scratch — market analysis, strategy comparison, research synthesis, and decision support. No templates.
Intelligent Automation
End-to-end workflow automation: data ingestion, structured reasoning pipelines, and output delivery without manual bottlenecks.
Domain Deployment
Our framework is finance-first and domain-flexible. Vitalis (health) and other verticals prove the same architecture applies wherever decisions are high-stakes.
Finance
Health
Operations
Research
PROOF OF WORK
Built systems, not concepts
FLAGSHIP SYSTEM
Market Operator
LIVEA finance-native system for market context, capital workflows, strategy comparison, and structured decision support.
Real-time market context
Strategy comparison
Portfolio decision support
Vitalis
LIVEA personal optimization system for nutrition, meal guidance, and daily wellness routines.
Synthesis Engine
BETAA multi-book and PDF synthesis system that extracts insights, connects themes, and produces structured knowledge outputs.
Team
Built by the team, guided by the founder
AugmentGo is a team effort with the founder guiding direction and several builders contributing across similar and adjacent projects. The systems on this page are not mockups or speculative concepts. They are designed, built, and run by the people doing the work.
This work is backed by 10 years of experience across information technology and finance, with a focus on futures, ETFs, index funds, and long-term options, plus infrastructure experience across Azure and Google Cloud. Finance is the proving ground, but the underlying system design is built for broader decision-support use cases where noisy inputs and workflow discipline matter.
That includes PolyArb for live prediction market arbitrage, Auction Agent for autonomous futures analysis with validation gates, Morpheus as the AI finance assistant, and Market Operator for the daily market briefing. For the right client, that means direct access to the team, with the founder staying closely involved.
WHY AUGMENTGO
Turn noisy inputs into clearer decisions
Markets, research, and workflows generate too much noise. AugmentGo structures that noise into usable context, clearer comparisons, and decision-ready views.
PRIMARY FOCUS
Finance-native AI infrastructure
Systems that monitor inputs, classify context, and produce structured intelligence for capital workflows.
MARKET CONTEXT
Regime and signal interpretation
Cleaner market context, session bias, and structured updates that help investors understand what matters.
PLATFORM CONTROL
Operator controls and validation
HITL gates, simulation checks, governance logic, and cloud infrastructure designed for responsible use.
OPERATING MODEL
Workflow discipline by design
Repeatable systems that turn fragmented inputs into consistent, reviewable outputs.
DELIVERY
Routed into the tools you use
Structured outputs delivered to dashboards, messaging apps, and operator workflows without losing context.
Most tools create more noise.
AugmentGo is built to reduce complexity, preserve context, and produce structured outputs that can actually be reviewed, compared, and used.
Operating model
How these systems show up in practice
The common thread is simple: take noisy inputs, add the right structure and controls, and produce repeatable output that is easier to act on.
Analysis
Market condition tracking
Publish market state, confidence, key drivers, and tactical bias from a multi-signal view of the tape.
Control
Validation and execution gates
Insert human review, sim validation, and workflow checkpoints before a system is allowed to act.
Delivery
Signal routing and briefings
Push structured updates into the tools your team already uses, whether that is a messaging app, dashboard, or internal tool.
Sample output — Market Operator
Daily Pre-Session Briefing
Messaging delivery • Pre-session • Auto-generated
Market State
Risk Off
Confidence
HIGH
Session Cadence
Pre-session
Delivery
Operator inbox
Operator bias
- Breakouts: Lower probability — fade extended moves
- Pullbacks: Sell rips into 20 EMA / 50 SMA
- Long condition: Require strong reclaim of 50 SMA with volume confirmation
- Short condition: Valid below 20 EMA with 20 EMA falling and no base forming
Market drivers
- QQQ (Leadership): Above 200 SMA · Below 50 SMA · Below 20 EMA
- DIA (Participation): Above 200 SMA · Below 50 SMA · Below 20 EMA
- RSP (Breadth): Softening — equal-weight underperforming cap-weight
- TLT (Bonds): Testing key moving averages; rates remain elevated
- BTC (Risk proxy): Below 200 SMA · Below 50 SMA · Testing 20 EMA
- VIXY (Volatility): Above 50 SMA · Above 20 EMA — vol regime elevated
Action
- Keep exposure light and selective — no full-size entries
- Favor mean-reversion setups over breakout attempts
- Use defined-risk entries with tighter position sizing
- Raise cash on strength; do not chase extended moves
Avoid
- Avoid forcing trades into weak or choppy structure
- No adds to losing positions below 20 EMA
- Avoid overnight holds in high-beta or momentum names
- No breakout entries until breadth confirms with RSP reclaim
Start the conversation
Working on a trading workflow, research pipeline, or execution system?
Send a note about what you want to build, whether that is a market monitor, pre-session briefing pipeline, prediction market agent, or another execution-aware system where context and control matter.
- Direct contact with the team
- Founder-led direction with builder support
- Custom strategy proposal
- Secure contact submission workflow