Specialized AI workforce for alternative assets.

Spend your hours deciding, not re-keying.

We deploy AI workers mapped to your workflows and embedded in your stack. Every output is traceable to its source. Your team reviews and signs off before anything ships.

Begin with a six-week readiness assessment, credited against deployment. Learn more

01
Source
Ingestion
PDFs, term sheets,
leases, emails
02
Context-aware
analytical layer
Entities, workflows,
semantic core
03
Deterministic
Output
Decisions
& metrics
Hedge Funds Private Equity Venture Capital Private Credit Real Assets Family Offices Fund of Funds Secondaries
/ 01 Technology

Choose your workforce.

SCALE YOUR OPERATIONS WITHOUT SCALING HEADCOUNT
Yuki Tanaka, Asset Management specialist
PE, VC, hedge funds, private credit

Asset Management

PE, VC, hedge funds, real assets, private credit. From documents to decisions: automated waterfalls, K-1s, and NAV that feed both LP reporting and portfolio intelligence across every manager and vintage, scaling with AUM, not headcount, traceable to source.

Mateo Silva, Fund Administration expert
NAV, capital calls, waterfalls

Fund Administration

Boutique, mid-market, global. From documents to delivery: automated fund accounting, waterfalls, K-1s, and NAV across every mandate, delivered under your brand and on time, taking on new AUA without adding headcount, traceable to source.

Marcus Vance, Real Estate specialist
Leases, rent rolls, JV economics

Real Estate

Developers, asset managers, funds. From feasibility to asset management: automated underwriting and IC memos, lease and covenant extraction, and multi-asset portfolio reporting across every property type, turning weeks of manual work into hours, traceable to source.

Elizabeth Sterling, Tax Accounting specialist
K-1 production traced to source

Tax Accounting

CPA firms and in-house tax teams. From extraction to review: automated K-1 ingestion, capital account calculations, and allocations across every fund, vehicle, and entity, so your team reviews and signs off. instead of chasing documents, traceable to source.

Amina Al-Mansoor, Institutional Allocations expert
Manager diligence and IC memos

Capital Allocation

OCIOs, fund of funds, and direct LPs. From manager statements to portfolio view: automated K-1, capital call, and distribution ingestion reconciled across every underlying manager and vehicle, feeding the reporting stack you already run, scaling with mandates, not headcount, traceable to source.

Dev Patel, Insurance consultant
Schedule BA, K-1s, statutory reporting

Insurance

Life, P&C, and annuity carriers with alternative portfolios. From manager statements to Schedule BA: automated K-1, capital account, and distribution ingestion reconciled into statutory workpapers across the alternatives book, upstream of Clearwater and ready for close, traceable to source.

/ 02 Differentiation

Not software. Not a service. A workforce.

Dimension Frontier model alone Build it yourself Aktus Workforce
Financial math Probabilistic, unsignable Separate engineering project Deterministic code. 100% precision
Cross-document reasoning Degrades past 3+ docs RAG retrieves passages Decompose, bridge, stage, synthesize
Where your data lives Vendor's multi-tenant cloud Your stack, your maintenance Your own cloud. Zero retention
Auditability No reproducible trace A separate sub-project Cited to document, page, clause
Time to production Prototype in a week 12 to 18 months Live in 3 to 6 weeks
What it produces A draft to check Whatever you build A signed-off deliverable
/ 03 Trust

AI reasons. Math computes. Your team signs off.

No probabilistic answers in finance. Waterfalls, NAV, tax allocations, capital accounts — every calculation runs through a deterministic code layer at 100% precision. The model reasons; audited code computes. And every output has a named human accountable for it. That's the whole answer to trust: an auditor won't sign an LLM-generated number, but a deterministic, citation-traced one they will.

100% precision on financial math Cited to document, page, clause A named human signs off.
/ 04 Scale

One reviewer. Three hundred workpapers.

Close cycles run on raw human throughput. A controller assembles a NAV workpaper from a stack of statements, ties out cash, reconciles positions, and chases a missing distribution notice across email. Three ship by end of day. Forty more are queued, and the auditor is waiting.

With an Aktus workforce, AI workers ingest the documents, run every figure through a deterministic code layer, and stage a complete workpaper cited to source. The controller stops re-keying and starts judging — not removed, but elevated from producing the work to reviewing it. Headcount no longer scales with AUM.

  • BeforeManual tie-outs, copy-paste from PDFs, quarter-end backlog.
  • AfterPre-assembled workpapers with line-level citations. Reviewed and signed.
  • ResultSame team. Same standards. One hundred times the throughput.
Before
0
Produced by hand, 3 per day.
After
0
Reviewed with Aktus, 300 per day.
/ 05 Operating record

Deployed, measured, accountable.

47
Workers in production across clients
$180B
AUM serviced by deployed workers
23d
Median workflow-to-production time
99.4%
Decision accuracy under human review

Hire your AI workforce.

Or write directly, sales@aktus.ai

Not ready to deploy? Start with a readiness assessment.

The bottleneck moved from doing the work to trusting the work. Aktus is how a person stays in command of output at a scale they could never reach alone.