Designed to compress the path from external state change to clean book. The target is a step-change in capacity, not a nicer queue.
Autonomous Financial-State Control for Fund Operationsbuilt by domain experts
8am every morning.Books reconciled before you arrive.
Reachfar AI runs the daily operating loop for funds: collect every source, prove the state, explain exceptions, act within mandate, and deliver an audit-ready clean book by 8am every morning.
Reconciled by 8am
Evidence by default
Humans on exceptions
The COO problem
Your clean book should not depend on heroic ops.
Every morning, funds still rely on people chasing files, comparing breaks, explaining stale data, and rebuilding the audit trail after the fact. That is not control. That is institutional memory under stress.
Reachfar turns the daily mess of PMS, broker, custodian, counterparty, and internal data into verified financial state: what the fund believes, why it believes it, what is unresolved, and what action is allowed.
Zero does not mean zero dashboards. Zero means zero unverified state.
The human role moves up: set the mandate, govern the machine, handle real exceptions, and own the relationships. The machine runs the ordinary loop.
The operating loop
Sources in. Clean book out.
Reachfar is a financial-state kernel for fund operations. It gives AI the one thing chatbots do not have: a governed model of the book, the evidence, the rules, and the permitted actions.
01 / Source exhaust
Files, feeds, statements.
PMS, broker, custodian, counterparty, and internal state arrive with gaps, delays, and conflicts.
02 / Verified state
Claims with evidence.
Positions, cash, trades, FX, fees, and actions become governed, versioned financial truth.
03 / Morning output
Book, breaks, evidence.
Operators see what is clean, what is pending, why it matters, and what action is allowed.
04 / Agentic investigation
Root cause, not chase.
Agents inspect source lineage, timing, policy, and economics before asking a human to touch anything.
05 / Resolution
Action inside mandate.
Wait, draft counterparty asks, propose correction, or escalate only when evidence and authority allow.
06 / Attestation
Books reconciled.
Clean state, exceptions, decisions, and proof are packaged into a reconstructable audit trail.
Daily machine
Watch sources
Know what arrived, what is late, what changed, and which fund/account is affected.
Prove state
Turn trades, positions, cash, fees, FX, and corporate actions into versioned financial claims.
Explain breaks
Classify source-pending, timing, true economics, and policy exceptions with evidence.
Act safely
Draft counterparty asks, defer source-pending items, or propose resolution inside mandate.
Verify
Check every action against source, policy, evidence, permissions, and replayable logs.
Attest
Deliver the clean book, exceptions, evidence pack, and audit trail for the day.
Human edge
Mandate
Define source trust, matching rules, materiality, escalation, and action authority.
Judgment
Handle the rare cases where ambiguity, risk, or relationship context matters.
Control
Inspect why the machine believes the book is clean and what remains unresolved.
Relationships
Use evidence-backed AI drafts without outsourcing accountability to a bot.
Audit
Reconstruct source, policy, hypothesis, action, and verification without archaeology.
Scale
Add funds, counterparties, and workflows without adding another morning queue.
The shift
More funds. More counterparties.
Same operating team.
The old model scales by hiring analysts and adding queues. Reachfar scales by giving the machine a governed book to operate.
Example: a broker file is late, a cash break appears, or a trade is amended after cutoff. Reachfar shows what changed, why it matters, whether policy allows waiting or action, and what evidence supports the decision.
Know what is verified, what is late, what is explained, and what needs human judgment before the day starts.
Zero means no unsupported operational truth: every claim is evidenced, governed, and reconstructable.
What we are not building
Another system to babysit.
Not chat over fund data.
Answers are not control. Reachfar needs source lineage, policy, evidence, and executable action boundaries.
Not a prettier breaks queue.
If analysts still chase every routine item, AI has only decorated the old workflow.
Not agent sprawl.
Core fund operations cannot become spreadsheet macros with better branding.
What we are building
A machine that earns trust.
Financial-state native.
Positions, cash, trades, fees, FX, sources, policies, evidence, and actions share one model.
Policy-bound.
The machine can only act where the mandate, permissions, and evidence allow.
Audit-ready.
Every clean-book claim carries the path back to source, policy, decision, and verification.
For builders
Build the control plane for autonomous finance.
We are looking for people who want hard problems: financial truth, agent safety, distributed evidence, private deployment, and systems that have to be right.
Small team. Real ownership.
No theatre. Builders own the slice from product idea to verified production behavior.
AI-native from first principles.
Not bolting agents onto SaaS. We are designing the substrate agents need to operate safely.
Finance where correctness matters.
Build with us
If evidence, replay, permissions, and auditability excite you, talk to us.
Managers and builders
If clean books are mission-critical, we should talk.
For COOs and operators: bring us your hardest daily-control problem. For builders: help us make AI safe enough to run real financial operations.
hello@reachfar.aiQualified institutional managers, fund operators, and exceptional builders.