FINANCIAL EXPERTISE. APPLIED AI.
Transform with AI.
Build your next edge.
Explore our services↓
FRONTWISE / YOUR PARTNER IN APPLIED AI FOR FINANCE01 / OUR SERVICES
Four services. Combine as needed.
Start with one. Combine as needed.
02 / CONNECTED BY DESIGN
Four layers. One learning loop.
The four layers can connect through configured API, MCP and trading interfaces. Reviewed trajectories, data and outcomes inform improvements.
Data & Tools
Market data · Indicators · Factors · Valuation · Base tools
Signal / Intelligence
Signals, news and intelligence built on data and tools
TradingSignal
KoegenHarness
Research · Quant · Options · Trading · Portfolio management
Agenta
Quant72
VolahExecution
Connection to trading terminals and broker interfaces
Signals and intelligence are available to the Harness through MCP. Data and tool access depend on permissions and interface configuration.
Evaluate trajectories and outcomes, apply risk checks and human review, then improve the next version of each layer.
03 / USE CASES & SOLUTIONS
From research needs
to working systems.
Seven use cases spanning research, analysis, trading workflows and data. See product examples where available, or explore a build around your team.
Multi-market technical analysis and signal interpretation
Turn market data into traceable, reviewable technical analysis signals.
Apply deterministic rules to market data to calculate DeMark, trend, support and resistance signals. AI explains the context, evidence and invalidation conditions; rule versions remain available for research review.
TradingSignal brings rule-based indicators and traceable AI interpretation into one workspace, with room to adapt the data and checks.
Options volatility and strategy experiments
Compare options strategies against volatility and risk.
Read the options chain, volatility surface and available structure data such as GEX. Screen candidate contracts or strategies, compare expiries, volatility, payoff and risk scenarios in parallel, then preserve the assumptions and results for research review; this is not a live order.
Volah supports options and volatility research, strategy experiments and risk-scenario comparison, adaptable to a team’s markets and limits.
Research intelligence and source governance
Turn incoming stories into research intelligence with a source.
Connect permitted news, filings and research sources; remove duplicates and organize items by topic or event. Preserve the original source, time and usage boundary, then let an authorized research agent retrieve the relevant items through MCP for a person to verify.
Koegen organizes sourced financial information into research intelligence that authorized agents can use, with topics and permissions adaptable to the team.
Investment research with an AI work system
Move from company evidence to a checked research conclusion.
Bring company materials and internal methods into one research task. Build or check a DCF financial model, question its assumptions against cited evidence, then prepare a research conclusion, portfolio proposal or trading-approach breakdown for human review.
Agenta organizes materials, models, tools and Q&A into a reviewable research Harness that can fit a team’s workflow.
Hypothesis testing and auditable backtesting
Turn a hypothesis into backtest evidence and a decision.
Turn a natural-language idea into a strategy specification and freeze the acceptance criteria before testing. Run the backtest with a deterministic engine; include benchmarks, costs, drawdowns and out-of-sample checks, then save the results and a human research decision.
Quant72 connects strategy definitions, reproducible backtest evidence and research decisions, with data and checks adaptable to the team.
AI autonomous trading
Build an auditable path from signal to autonomous action.
An AI system monitors research signals and forms a trading plan. After permission and risk checks, it can execute and monitor autonomously within the authorized scope; exceptions pause for human handling, and every action is logged for review.
Financial data for AI agents
Make financial data usable by authorized agents.
Organize internal data, factors, signals and industry research with source, license, version and access scope. Serve the permitted subset to each agent through MCP, and retain a record of each call for review and audit.
YOUR SCENARIO
Your next use case
starts with your team.
Bring us a research process that matters to your team. Together, we will define requirements, data and acceptance criteria, and explore a practical path to implementation.
Discuss your use case↗04 / WHY FRONTWISE
Investment research expertise.
Applied to AI engineering.
Grounded in rigorous research methods and firsthand market experience, we continually test, learn and refine our approach as we build with AI.
Meet Frontwise↗15+years
Firsthand investment research experience
Hundredsof hours
Refining our research methods
05 / OUR MISSION
Our expertise.
Your confidence in the AI era.
Give professionals more room for judgment.
Let research methods and knowledge compound.
06 / PERSPECTIVES
News & Insights
DeepSeek’s Agent Framework:
Why Is Everything a Plugin?
Explore how DeepSeek Harness organizes Agent capabilities through plugins and architectural roles, and what this means for enterprise engineering.
AI Framework Research“Companies Will Disappear”:
A Strategist’s Perspective
Follow Ming Zeng’s reasoning on how AI could reshape collaboration, organizational boundaries and business capabilities.
AI & OrganizationsDeepSeek Harness: What Comes Next for Enterprise FDE
Starting with real business processes, explore how customizable Agent infrastructure connects business context, specialist skills and engineering delivery.
AI & OrganizationsTransform with AI.
Build your next edge.
Book a complimentary 30-minute consultation to clarify your AI priorities and explore a practical path forward.
Book a free consultation