For Investment Firms
Private equity, hedge funds, and growth-stage VC firms who consult experts on diligence, market sizing, channel checks, and competitive intelligence. We turn weeks of research coordination into hours.
An intelligence layer · Est. 2026
The expert network,re-architectedfrom first principles.
Jazel is building the institutional intelligence layer for high-stakes decisions. We replace weeks of coordination with seconds of synthesized insight — drawn from a network of vetted experts, indexed by AI, delivered on demand.
Pre-launch · Enrollment by invitation
§ 01 — The Incumbents
The market is real.
The infrastructure
is broken.
The expert network industry channels over $2 billion annually between investment firms and the experts they consult. The model is essential — and almost entirely manual.
A typical request takes 6 to 14 days to fulfill. Junior researchers screen profiles by hand. Compliance is paperwork. Matching is keyword search. Scheduling is email. The expert is paid a fraction of what the client is charged, because the rest funds the coordination overhead.
The clients tolerate this because there is no alternative. The experts tolerate this because the cheques arrive eventually. The researchers tolerate this because it is, for now, their job.
None of these are good reasons.
"We pay $2,400 an hour for a phone call. Most of that is paying someone to organize the phone call."— Director, mid-market private equity firm
§ 02 — The Approach
Three layers.
Built from scratch.
AI-native by default.
LAYER 01
Marketplace
A self-serve platform where institutional clients submit requests and receive matched expert candidates in under sixty seconds. Compliance, scheduling, and payment are integrated into a single workflow.
LAYER 02
Agents
Autonomous AI agents handle expert onboarding, semantic matching, compliance screening, scheduling, and proactive sourcing. The work that armies of researchers do today, performed continuously and consistently.
LAYER 03
Synthesis
Every expert engagement contributes to a proprietary knowledge graph. Clients can query the graph directly — receiving synthesized, cited insights drawn from hundreds of expert conversations in seconds. This is the layer that makes us not 2× better, but 10× different.
§ 03 — By The Numbers
Key metrics compared to industry standard
< 0s
TIME TO MATCH
vs. 6–14 days
INDUSTRY STANDARD
0%
TAKE RATE
vs. 5–15%
INCUMBENT MARGINS WE ABSORB
0%
TO EXPERTS
vs. 30–40%
INCUMBENT EXPERT SHARE
24/7
AVAILABILITY
vs. business hours
INCUMBENT MODEL
§ 04 — Designed For
Built for institutions
that compound on insight.
For Consulting & Advisory
Strategy consultancies, M&A advisors, and corporate development teams who require fast, defensible market expertise. We provide on-demand expert depth without the overhead of long-term contracts.
For Experts
Operators, retired executives, and domain specialists who want to monetize their expertise without the friction of legacy networks. Higher payouts, faster onboarding, fewer middlemen.
§ 05 — The Thesis
We are building Jazel Labs to compound across the institutional decision-making stack.
Council is our first product — a complete reimagining of the expert network category. It is also a foothold.
The buyers we serve — investment firms, consultancies, corporate strategy teams — share a common workflow: they make high-stakes decisions under time pressure, and the inputs to those decisions are scattered across humans, documents, and institutional memory.
Beyond Council, Jazel Labs is building successive products against this same buyer: AI agents for due diligence, investment memo synthesis, market intelligence, and competitive monitoring. One platform. One contract. One source of intelligence.
Council is how we earn the right to expand.
Founded 2026 · Building from India · Serving institutions globally
Request access.
Council is in pre-launch. We are onboarding a closed cohort of design partners across investment firms and expert networks. If your work involves making decisions on imperfect information, we would like to hear from you.