From Company URL to Fundraising Machine
Raisy turns your company into a fundraising operation — investor research, warm outreach, pipeline tracking, and updates — AI-assisted, human-directed, fully audited.
Investor Research
Raisy builds investor lists that fit your story, scores fit, and keeps every preference in one shared memory.
Warm Outreach
Personalized, multi-channel outreach drafted by AI and gated by you — nothing goes out without your call.
Pipeline & Updates
Every touchpoint tracked, every meeting logged, every follow-up on schedule — with receipts for all of it.
Term-Sheet Tracking
Terms, deadlines, and decisions tracked in one auditable trail — so nothing slips between the emails.
One memory across every step of the raise. Your people at every decision gate. The same engine then runs the rest of your company.
Why Fundraising Needs a Governed Workforce
A raise is the highest-stakes use of AI: one hallucinated fact, one forgotten preference, one unlogged send can cost a round. These failure modes are measured and published — and they are exactly what Raisy was built to solve. Hover the charts; every number is footnoted below.
Figure 1. Hallucination rate by frontier model on a trivial summarization task (Vectara Hallucination Leaderboard (HHEM-2.3, updated 2026-05-11)). Even the best models invent content 3–12% of the time; the largest reasoning models are worse.
Figure 2. AI agents: benchmark vs production (agentmarketcap.ai (2026-04-14) — ~94% of agent deployments fail in production despite 80%+ benchmark scores). Benchmark success is not production success: the gap is the difference between a model knowing how and a model reliably doing.
Figure 3. Long-term memory recall across sustained interactions (LongMemEval (ICLR 2025) — ~30% accuracy drop): a ~30% accuracy drop at the model level — and no shared brain across departments unless one is built in.
A hallucinated fact can sink a term sheet
Raisy solves it: Every prepared outreach and update passes a human gate until a bot earns autonomy through a transparent confidence score.
AI forgets an investor’s preference by week two
Raisy solves it: One shared, versioned memory — every investor, every preference, every conversation known across every bot, forever.
Unguarded outreach bots fail in production
Raisy solves it: Auditability by design: every send, approval, and update lands on an immutable audit trail you can point to.
Models churn mid-raise; costs swing 100×
Raisy solves it: Model-agnostic kernels route to the cheapest model that passes the eval — your raise keeps running as models change.
Footnotes
- Hallucination rates: Vectara Hallucination Leaderboard (HHEM-2.3, updated 2026-05-11).
- Agent task success: Carnegie Mellon + Salesforce 1,000-task studies; Fiddler synthesis (14.41% agents vs 78.24% humans).
- Memory decay: LongMemEval (ICLR 2025) — ~30% accuracy drop across sustained interactions.
- Production failure: agentmarketcap.ai, "The 94% AI Production Failure Rate vs 80%+ Benchmark Scores" (2026-04-14).
- Model churn: artificialanalysis.ai (605 models / 58 creators, Aug 2026); Stanford HAI AI Index Report 2025.
The Rest of Your Company, Same Engine
The same governed workforce that runs your raise — sales, recruiting, support, IR — runs every department. Nothing you build is wasted; everything you correct is remembered.
From URL to AI Workforce in Minutes
No configuration. No training data. No complex setup. Just your website URL and Raisy builds your entire workforce.
Company website or LinkedIn
Raisy scrapes your public presence, extracts brand voice, value props, and key differentiators.
AI reads and understands your business
Your workflows and the bots that run them
Every action needs your approval first
Bots graduate as they prove themselves
Live Preview
Hire Specialists, Not Generalists
Each bot is trained for a specific role. They work 24/7, never take vacation, and get better every week.
Fundraising
Replaces expensive fundraising retainers + success fees. Builds investor lists, drafts outreach, tracks pipeline.
Sales
Prospects, scores leads, drafts personalized emails, books meetings, updates CRM. Never misses a follow-up.
Recruiting
Sources candidates, screens resumes, schedules interviews, sends rejections. Full pipeline automation.
Investor Relations
Updates investors, prepares board decks, tracks KPIs, manages cap table communications.
CEO Assistant
Calendar management, email triage, meeting prep, travel booking, expense reports. Your always-on executive assistant.
Email Marketing
Segments lists, writes sequences, A/B tests subject lines, tracks open rates. Full lifecycle marketing.
See Your Stage, Set Your Raise
Where are you on the funding ladder? Click your stage, drag your round and ticket — Raisy turns the answer into a stage-matched investor list.
Startup funding stages — pick your round, pick your ticket
Click a stage in the funnel to pick the round you're planning, then drag the two handles below. The shaded band shows what's typical; the soft highlight marks the round your amounts currently fall into — your chosen round keeps the orange ring and its name.
Your raise profile
Pre-seedThe earliest round. Investors back the team and the idea more than the numbers — little or no revenue is expected.
Connected — your ticket follows your round (≈ round ÷ 4 investors). Drag the ticket to set your own value.
No limits — drag within the track, or type any amount in the box to go beyond it (a $50k round, a $10M pre-seed, a $500M round…). The shaded band is only the guide.
Must show: Prototype or a clear idea, founding team, early market signal
Pre-seed: typical raise $100k–$1M · typical ticket $5k–$1M+. Ranges are indicative and vary by region and industry.
Pre-seed is the angel-led round — “angel” describes who writes the check, not a separate stage. Ticket sizes are per-investor; a round is typically filled by several of them. Ranges are indicative — starting points, not promises.
A Full AI Workforce for Less Than One Junior Salary
What it costs to staff these functions full-time vs. what you pay with Raisy. Same coverage. A fraction of the cost — and your people keep the final call.
Fully Staffed Salary Stack
The cost of a full team, freed up for product and growth — instead of headcount.
Trust Through Proven Performance
Every bot starts on a leash. Consistent approvals unlock more freedom. No bot graduates without earning it.
Live Approval Feed
Value That Compounds
Every approval teaches every bot. A correction at the source ripples across every bot in your workforce. The more you use Raisy, the more valuable it becomes.
24-Month Value Trajectory
Why it compounds
We Solve the Five Failure Modes
Models hallucinate 3–12%. Agents fail most tasks. AI forgets a third of what you teach it, costs swing 100×, and the market is burned on trust. Those are not reasons to avoid AI — they are reasons to govern it. This is the governance.
Human-in-the-Middle by Default
Every AI employee starts with full human review. As they prove reliable, they earn autonomy through demonstrated performance — never the other way around.
Recursive Self-Improvement
One correction improves every bot that shares that capability. Your workforce gets smarter every week without retraining or redeployment.
Confidence-Based Autonomy
Every bot has a transparent confidence score: (approvals / total decisions) × 100. You always know exactly why a bot was promoted — or demoted.
Scope-Aware Governance
Different approval rules for internal vs. external actions. A fundraising bot can draft emails freely but needs sign-off before sending to investors.
Trust You Can Prove
~94% of agent deployments fail in production because nobody can see what the AI did. Raisy's answer is auditability by design: every action logged, every decision traceable, ISO 9001 aligned out of the box. The platform is your quality management system.
ISO 9001
Built-in audit trails and documentation meet ISO 9001 quality management requirements automatically.
Enterprise Compliance
Every action logged, every decision traceable. No separate audit systems needed.
Regulatory Ready
SOC 2, HIPAA, GDPR-friendly architecture. Complete data lineage and control.
100% Audit Trail
Full parent-child traceability from Kernels → Bots → Processes → Records.
What Makes Raisy Different
✓Traditional Systems
Compliance = separate audit system + manual documentation + expensive external consultants
✓Raisy
Compliance = automated, built-in, real-time audit trails that satisfy ISO 9001, SOC 2, and HIPAA requirements
A System That Learns From You
While other AI forgets ~30% of what you teach it, Raisy remembers — versioned, cross-department, and auditable. One correction improves every bot that shares that knowledge, and the system improves every day.
You Define
Create a workflow. Raisy asks: "What decisions need to be made?"
Humans Review
Every decision starts with a human. Build a library of "good" approvals.
Patterns Emerge
After 50+ approvals, Raisy identifies what you consistently approve.
Autonomy Earned
Bot reaches 90%+ confidence and is promoted to autonomous execution.
Confidence Score
Every bot has a transparent confidence metric: (approvals / total decisions) × 100.
Active Learning
When you reject a decision, Raisy studies it. Our system generates a corrected version and learns.
❌ Reject: "Too aggressive"
✓ New version generated
Next run uses your feedback
100% Transparent
Every decision is logged with confidence score, reasoning, and human approval.
Bot: Lead Qualifier
Decision: Qualify lead
Confidence: 91%
Human: Sarah Chen (approved)
Timestamp: 2026-05-02 09:34
Hash: 0x7f3a9c...
Why This Approach Wins
vs. Static Rules: Rules break when exceptions appear. Raisy learns exceptions.
vs. Black-Box AI: You never know why decisions are made. Raisy shows you every step.
vs. Manual Everything: A manual process repeats your effort; Raisy learns from every run.
vs. Fire-and-Forget Bots: Bots don't learn. Yours do. They improve every week.
From the Blog
How Raisy builds an AI company operating system — the architecture, the ROI math, and how bots earn the right to run autonomously.
Your Investor Database Keeps Dying. Here's the Self-Healing Fix.
A generic scraper reads one VC's site and hears “Early stage capital for developers” instead of “Abstraction Capital.” Here's the enrichment strategy that keeps an investor database accurate, fresh, and self-maintaining.
Read
Plain Text vs HTML Email: Why Both Can Land in Spam
Cold email passes four independent spam filters, not one. We break down what each layer checks and why plain text and HTML fail it differently.
Read
Startup funding stages, explained
Pre-seed, seed, Series A, B, C — what each round actually means, who writes the check, how big the tickets are, and what you need to show before you raise it.
ReadYour AI department is ready when you are.
We're building for leaders who refuse to compromise between speed and compliance.
We're onboarding teams in small cohorts so every workspace gets a guided setup — your data, your bots, your approval gates. A department's workload, directed by your people at every decision gate.
Tell us about your goals. We'll set up your workspace.