This is the full developer documentation for inloop.studio # > AI-Led Deep Discovery | Human-Led Value Acceleration \[ Human+AI Collaboration for Private Equity ] # AI-led Deep Discovery # Human-led Value Acceleration Accelerate capital deployment and growth through *AI-led operational or strategic discovery* that builds institutional intelligence. Success of Private Equity and M\&A Advisory depends on how fast you can learn about the business and make that learning compound over time. We enable Human+AI collaboration—AI leads discovery while you apply human judgment to deliver on commitments. Our users significantly shorten time to term sheets (Commercial Due Diligence) and to 100‑day Plans (Value Creation Strategy). Every discovery engagement builds your firm’s institutional intelligence, creating a permanent competitive advantage. [Let’s start](/contact) ✓Faster diligence and strategic planning ✓ Specialized Deal Brain (not commodity GPT) ✓ Deal intelligence that compounds ### AI-Led Deep Discovery 3-30 stakeholders in parallel AI conducts comprehensive stakeholder interviews at scale with natural conversation, adaptive questioning, and real-time synthesis. ### Human-Led Value Acceleration 10x more time for strategy Focus on capital deployment decisions, 100-day value creation plans, and portfolio strategy while AI handles interviews. ### Institutional Intelligence Knowledge that compounds Every session builds your firm’s intelligence with pattern recognition across deals and a permanent competitive advantage. \[ RECENT INSIGHTS ] ## Latest from the studio Dive deeper into how leaders are baking confidence, alignment, knowledge, and execution into their teams. ### [The AI Strategy Cake](/guides/ai-strategy-cake) [Why most enterprises frost before they bake—and how the CAKE framework keeps AI strategy from collapsing.](/guides/ai-strategy-cake) [Read article →](/guides/ai-strategy-cake) # About > Building the Future of PE Intelligence # Institutionalizing Intelligence in Private Equity We believe every problem is a deep discovery problem. And we’re building the platform that helps PE firms institutionalize intelligence. ## Our Mission Private equity creates value by making better decisions faster. But operational and strategic discovery—the foundation of every good decision—is slow, expensive, and doesn’t build lasting institutional knowledge. We’re changing that. inloop handles operational and strategic discovery for PE firms—turning 2-4 weeks of stakeholder interviews into 1-2 days of expert-quality insights. Every discovery builds your firm’s institutional intelligence, creating a permanent competitive advantage. The result: Firms that move faster, decide better, and build competitive moats that compound over time. ## How We Work ### Deep Over Shallow We believe in comprehensive, thoughtful discovery—not shortcuts. AI enables depth at scale. ### Intelligence Over Transactions Every discovery should build permanent intelligence, not just solve one-time problems. ### Partnership Over Replacement AI leads discovery so humans can lead value creation. We amplify expertise, not replace it. ### Outcomes Over Features We measure success by capital deployment speed and value creation outcomes, not feature counts. ### Join Us We’re building the future of PE intelligence. If you’re passionate about AI, private equity, and building products that create permanent competitive advantages, we’d love to talk. [Get in touch](/contact) # Contact > Let's Build Your Institutional Intelligence # Let’s Build Your Institutional Intelligence Schedule a demo, talk to sales, or start with a pilot discovery. Leave your details below and we’ll invite you to our next event: * • Building an AI Brain for Your Company * • Onboarding AI as a Colleague * • Making Your AI Sign an Employment Contract with You [Inloop Contact Form](https://os.inloop.studio/public/contacts/new) Mailing Address INLOOP.STUDIO PTE LTD 68 Circular Road #02-01, 049422, Singapore # The AI Strategy Cake > Why most enterprises frost before they bake—and how the CAKE framework keeps AI strategy from collapsing. *Authors: Abhishek Parolkar & Jason Bissell* ## Why Most Enterprises Frost Before They Bake  *** Last year enterprises spent **$307 billion** on AI initiatives (IDC, 2025) and—brace yourself—**42 percent** of them binned the majority of those projects before they left the test kitchen (S\&P Global, 2025). Gartner pegs the overall AI failure rate at **85 percent**. Only **one in four** organizations report seeing significant ROI from their AI investments. If the average Fortune 500 company missed its earnings target 85 percent of the time, heads would roll. Yet boards keep signing checks for “AI transformation” as if GPU invoices or OpenAI credits were a proxy for strategy. The scandal isn’t that models hallucinate; it’s that executives do—about what an AI strategy actually is. Most corporate AI masterplans are nothing more than **shopping lists**—cloud credits, vendor pilots, a Center of Excellence logo. They’re *bad abstractions*: impressive-sounding, functionally irrelevant. *** ## Why the Conventional Playbook Fails (Again) Typical enterprise sequence: 1. Hire a few PhDs, 2. Stand up a mini AI Lab, 3. Run proofs-of-concept, 4. Announce you’re “AI-first,” 5. Wonder why nothing scales beyond demo day. This ritual fails for three structural reasons: **a) Technology Myopia** – Treating AI as an IT upgrade. Strategy becomes a debate about model weights instead of business weight class. **b) Org-Chart Blindness** – Assuming formal hierarchy equals adoption capacity. In reality, change flows through the informal lattice—coffee-chat mentors, Slack guerillas, domain cynics. **c) The Pilot Paradox** – Endless experiments create the *illusion* of progress while entrenching fragmentation. The more pilots you launch, the less coherent your data estate becomes, guaranteeing the next pilot also dies in POC purgatory. The upshot: you can’t fix a human-systems problem with more LLM token credits. *** ## Enter the AI Cake Strategy is cuisine, not cabinetry. You don’t “install” a cake—you *compose* it so the layers reinforce each other. Skip the sponge and the icing slides; neglect the filling and nobody comes back for seconds. Think of strategy as a three-layer cake: | Strategy Layer | Visualize as a Cake | Purpose | | ---------------------- | ----------------------- | ---------------------------------------------------------------------- | | Me & My AI | **Foundation (Sponge)** | Holds the weight; without it everything collapses. | | Us & Our AI | **Filling (Cream)** | Blends flavors; where real value is created. | | Our Org & The AI Brain | **Frosting (Icing)** | Makes the cake look good and taste good; the visible system of record. | Most firms attack the cake from the top because icing looks like progress—dashboards, model registries, town-hall demos. But gravity is unforgiving: icing without sponge is a puddle. **Meet the CAKE Framework.** The three physical layers translate into four strategic levers: **C = Confidence** (individual self-efficacy), **A = Alignment** (team collaboration), **K = Knowledge** (organizational learning infrastructure) and **E = Execution** (enterprise-level governance and scale). Together they spell **CAKE**—a mnemonic reminder that strategy must be baked from the inside out. *** ## Layer One – C (Confidence) — *Sponge*: The Individual (“Me & My AI”) Algorithms don’t create competitive advantage; **changed colleagues** do. Adoption beats sophistication every quarter. ### What Goes Wrong * **Identity threat**: People aren’t scared of technology; they’re scared of becoming obsolete (Davenport et al., 2023). * **Cognitive overload**: A GenAI copilot adds yet another interface to juggle. * **Skill asymmetry**: Power-users sprint while the median lags, widening resentment. ### Case Study – Siemens Mobility When Siemens rolled out a GenAI assistant for maintenance engineers, adoption initially stalled at 22 percent. Why? Senior techs felt decades of tacit knowledge were being crowdsourced away. Leadership flipped the script: each engineer had to *teach* the model one troubleshooting pattern per week. Within six months, usage hit 74 percent and mean-time-to-diagnose fell 31 percent. Lesson: make employees authors, not subjects, of the AI narrative. ### Academic Backing Bandura’s self-efficacy theory predicts behavior better than incentive plans. A 2024 meta-analysis (Journal of Applied Psych) shows employees with *AI efficacy* scores one standard deviation higher adopt new tools 48 percent faster. Translation: train confidence, not just competence. ### Enterprise Checklist 1. *Personal Use-Case Canvas*: Every knowledge worker drafts a before/after task sketch. 2. *Atomic Skill Micro-Certs*: 30-minute modules tied to real workflows—no boiling-the-ocean academies. 3. *Shadow-Day Audits*: Managers observe one live task per direct report to verify redesign. If ≥70 percent of staff cannot name *one* task AI improved this quarter, stop and rebake the sponge. *** ## Layer Two – A (Alignment) — *Cream*: The Team (“Us & Our AI”) The team is the unit of innovation. Generative performance is multiplicative: **1 × (n humans + model) > n humans + model**. ### Failure Modes * Silo friction: Model artifacts live in one repo, business context in another. * Lack of psychological safety: Nobody admits the model’s coherence score tanked yesterday. * Tool tribalism: Data science ships notebooks; ops demands SLAs; marketing wants Figma widgets. ### Case Study – National Australia Bank NAB fused fraud, product, and call-center squads into a “Guild” owning a real-time anomaly engine. Instead of tossing a model over the wall, data scientists sat side-by-side with frontline reps during sprint reviews. Chargeback disputes dropped 28 percent and—more interesting—call-center attrition shrank 12 percent because reps felt they were co-inventors, not script-readers. ### Research Snapshot Harvard Business Review’s 2024 study of 112 cross-functional teams found decision accuracy rose **30 percent** only when *interdisciplinary fluency* exceeded the 50th percentile (measured via network-analysis of Slack threads). Put simply: if engineers can’t explain a ROC curve to finance, your cream is still lumpy. ### Enterprise Playbook 1. **AI Design Jams**: 48-hour hack-and-embed sprints with mandatory mixed roles. 2. **Model Scorecards in Stand-up**: Precision/recall sits next to burn-down charts. 3. **Shared OKRs**: A single metric spans product, risk, and ops. Red flag: If fewer than three departments are co-owners of a live AI workflow, your cream hasn’t set. *** ## Layer Three – K + E (Knowledge & Execution) — *Icing*: The Organization (“Our Org & The AI Brain”) An AI platform is not tech debt avoidance; it’s a **governance mechanism**. Organization Brain Architecture is **culture** drafted in Markdown. ### Common Traps * **Data feudalism**: Every VP is a baron guarding their data warehouse that is not LLM ready. * **Ethics theatre**: A policy PDF with no runtime hooks. * **Budget whiplash**: CapEx spikes for pilots, vanishes for maintenance. ### Case Study – Komatsu The heavy-equipment giant built a central “AI Brain” that ingests telematics from 650k machines. Key twist: regional GMs can override predictive-maintenance schedules but their overrides feed back into the model as labeled data. Decision rights stay local; learning stays global. Result: 23 percent drop in unplanned downtime and a governance exemplar regulators now cite. ### Academic Lens Argote’s knowledge-transfer research shows organizations that capture *double-loop learning* (people train system, system trains people) outperform peers on time-to-decision by 35 percent. In MLOps terms: human-in-the-loop is not ethics garnish; it’s throughput. ### Enterprise Charter 1. **Data in LLM-ready form**: What can be in Markdown must be in Markdown. 2. **Embedded Bias Gates**: Fairness tests block CI/CD pipelines if delta > 3 percent on protected attributes. 3. **Capital Allocation Board**: Portfolio decisions every 90 days; dead pilots cannibalize their own GPUs. Diagnostic: track *decision latency*. If cross-functional critical decisions still take weeks, the icing is melting. *** ## The Pilot Paradox & Other Diagnostic Tools ### Pilot Paradox Test Count the number of AI pilots > 12 months old that never hit production. If that number exceeds shipped models, you are decorating Styrofoam. ### The CAKE Scorecard | Score | Sponge — C (Confidence) | Cream — A (Alignment) | Icing — K + E (Knowledge & Execution) | Go / No-Go | | ----- | ----------------------- | --------------------- | ------------------------------------- | ------------- | | **1** | Curiosity Sessions | Isolated Champions | Ad-hoc Data Lakes | Read recipes | | **2** | Task Redesign Logs | Shared Notebooks | Central Feature Store | Pre-heat oven | | **3** | 70% AI-augmented Tasks | Cross-domain SLAs | Bias Gates Live | Start icing | | **4** | Continuous Upskilling | Real-time Co-creation | Dynamic Funding Loops | Serve cake | ### Leading vs. Lagging Indicators *Leading*: self-efficacy, collaborative density, retraining cadence.\ *Lagging*: cost per decision, revenue per employee. Steer with the first, celebrate with the second. *** ### The CAKE Framework Summary * **C = Confidence** – Cultivate individual self-efficacy and AI literacy. * **A = Alignment** – Knit cross-functional teams around shared, AI-driven workflows. * **K = Knowledge** – Build learning infrastructure: data meshes, feature stores, feedback loops. * **E = Execution** – Embed governance, funding, and ethics gates that let scaled solutions thrive. Memorize the recipe: if any letter is missing, the cake collapses. *** ## Contrarian Nuggets for the Boardroom 1. **Complex models are confession letters**—they admit you skipped understanding the workflow. 2. **The best AI talent already works for you**—they’re domain experts, not Kaggle medalists. 3. **Vendor lock-in is a symptom**—if switching underlying AI infrastructure feels impossible, your abstraction layer is wrong. 4. **ROI is a tailwind**—culture rewired for AI will surface opportunities you didn’t model. *** ## Conclusion AI doesn’t transform organizations. *Organizations that master the three-layer cake transform themselves—and AI tags along for dessert.* Bake from the bottom: individual mindset, then team muscle, then organizational brain system. Respect physics: icing never holds up the sponge. Kill zombie pilots, measure confidence not click-through, and remember—the only strategy that matters is the one your people can taste. The next time someone flashes a roadmap that starts with “Enterprise LLM Platform,” slide the deck back and ask: **“Great frosting. Where’s the cake?”** And if they can’t spell out \*\*C A K E—Confidence, Alignment, Knowledge, Execution—\*\*they’re still mixing batter. *** ### Keep It Simple * **Confidence.** Each person trusts the tool. * **Alignment.** Teams pull in the same direction. * **Know-how.** The organization remembers what works. * **Execution.** Feedback loops turn today’s lesson into tomorrow’s edge. # How it works > How Inloop’s 5-day breakthrough system turns messy problems into decisive action. \[ 5-DAY BREAKTHROUGH SYSTEM ] Our clients come to us when the stakes are high, clarity is low, and the clock is ticking. Inloop.studio’s breakthrough system blends human insight with agent AI to surface the signal, shape decisive options, and mobilize the team in a single week. *** ## Day 1: Discover the Signal We kick off with focused stakeholder interviews, live data scrapes, and agent-assisted research sprints. The goal: expose the real blockers, not just the loudest symptoms. * Rapid intake workshops with senior decision makers * AI summarization to spot overlapping pain points and hidden themes * Confidence readout so everyone sees the same starting line ## Day 2: Frame the Problem With the raw signal on the table, we map the opportunity landscape and pressure-test assumptions. Our team pairs with yours to define the “jobs to be done” and the constraints that matter. * Insight canvases built in real time with our copilots * Narrative synthesis that collapses noise into sharp problem statements * Success metrics agreed before solutions start flying ## Day 3: Design Possibilities Now the creative flywheel spins. We combine human judgment and generative prototyping to explore bold, viable paths forward. * Mixed squads swarm ideas with agent support for research, content, and visuals * Rapid scoring on desirability, feasibility, and impact * Lightweight artifacts that make options tangible by sundown ## Day 4: Decide With Confidence Decision day isn’t a slide review—it’s a commitment workshop. Sponsors, enablers, and skeptics hash out trade-offs together so momentum doesn’t die in follow-up meetings. * Scenario walkthroughs backed by data evidence and customer signal * Risk registers, owner assignments, and funding asks clarified in the room * “Would we bet on this tomorrow?” alignment check before we call it done ## Day 5: Mobilize Execution We end with a launch blueprint that survives the hand-off. Teams leave with what to do Monday, who leads it, and how success will be measured. * Implementation playbook with sequenced workstreams and success metrics * Agent AI copilots configured to support the first 90 days of delivery * Leadership cadence to keep decisions, learning, and budgets in lockstep *** ## Why It Works * **Human + Agent Pairing** — Our facilitators and domain experts co-create alongside AI agents so insight speed never outruns judgment. * **Shared Language** — Every artifact is built collaboratively so product, go-to-market, and operations start with the same story. * **Decision Certainty** — We push for real commitments, not “circle-back” lists. When the week ends, the path forward is resourced and owned. *** ### Want to see if your challenge is a fit? * Drop us a note at * Or schedule a 30-minute diagnosis session—we’ll help you decide if the cake is ready to bake # Partners > Strategic Partners Amplifying Value Creation # Strategic Partners Together, we deliver *speed, expertise, and compounding intelligence* for private capital. inloop.studio’s platform enables rapid, expert-led discovery. Our strategic partners bring complementary capabilities—deep domain expertise, global execution strength, and proven methodologies—to deliver exceptional outcomes for private equity, venture capital, and M\&A advisory. These partnerships amplify the value of Human+AI collaboration, ensuring that AI-led discovery translates into expert-driven value creation. ## Featured Partners ### [SAM’SPACE](/partners/samspace) [AI-Augmented Strategy Consulting | Global Execution](/partners/samspace) [Expert consultants (ex-Big 4, ex-MBB) delivering accelerated Commercial Due Diligence and 100-Day Value Creation Plans using the inloop platform.](/partners/samspace) [70% faster due diligence](/partners/samspace) [50-85% cost savings](/partners/samspace) [11 global locations](/partners/samspace) [Learn More →](/partners/samspace) ## Why Partner With Us ### Platform + Expertise Combine inloop’s AI-led discovery platform with partner domain expertise for unmatched speed and quality. ### Shared Values Human+AI collaboration, institutional intelligence that compounds, and outcome-driven delivery. ### Client Success Every partnership is designed to accelerate capital deployment and create permanent competitive advantages for clients. ### Interested in Partnership? We’re always looking for strategic partners who share our vision for Human+AI collaboration in private capital. If you bring complementary expertise and are passionate about building institutional intelligence, let’s talk. [Get in touch](/contact) # SAM'SPACE + inloop.studio Partnership > Human+AI Discovery for Private Capital +[](https://consultsamspace.com/?utm_source=inloop_studio\&utm_medium=web\&utm_campaign=partnership) *Accelerated Value Creation. Compounding Institutional Intelligence.* Success in Private Capital depends on how fast you can learn about a business and make that learning compound over time. The inloop.studio + SAM’SPACE partnership delivers exactly that—rapid, expert-led discovery that builds permanent competitive advantage. ## The Partnership ### inloop.studio The Platform Human+AI collaboration technology where AI leads deep discovery while experts apply judgment. Purpose-built for private capital to accelerate due diligence and value creation planning. ### SAM’SPACE The Delivery Partner AI-augmented strategy consulting with global execution capability. Expert consultants (ex-Big 4, ex-MBB) who facilitate outcomes using proven methodology and the inloop platform. Together: Speed + Quality + Compounding Intelligence ## What We Deliver ### Accelerated Time to Term Sheet Complete Commercial Due Diligence in 1-2 weeks (vs. 6-12 weeks traditional) * ✓Market positioning and competitive dynamics * ✓Revenue quality and growth sustainability * ✓Customer concentration and retention analysis * ✓AI-powered insights validated by expert judgment ### Rapid 100-Day Value Creation Plans Actionable post-close roadmap delivered in days, not months * ✓Prioritized quick wins and strategic initiatives * ✓Capability gaps and organizational design * ✓Performance KPIs and tracking framework * ✓Implementation partnership available ### Institutional Intelligence That Compounds Every engagement strengthens your firm’s proprietary knowledge base * ✓Pattern recognition across your deal portfolio * ✓Benchmarking against similar investments * ✓Continuously improving analytical frameworks * ✓Permanent competitive advantage vs. competitors ## How It Works ### 5-Day Sprint Methodology #### Day 1: Discovery AI-facilitated conversations to explore challenges and opportunities #### Day 2: Deep Discovery With specific goals aligned with team objectives #### Day 3: Analyze AI-assisted and expert-reviewed assessment of financial and compliance information provided in the conversations #### Day 4: Validate Iterative refinement of insights and recommendations #### Day 5: Prepare & Recommend Preparation of a confidential DD Report covering Revenue Analysis, Profit Analysis, Assets, and Process Gaps #### AI Does: Deep Conversational Interview Sessions, Data Collection, Pattern Recognition, Comparative Analysis, Builds the Deal Brain incrementally #### Experts Do: Human-Context overlay, Risk Assessment, Stakeholder Insights, Fact Validation #### You Get: Speed and transparency of AI + accountability of expert delivery ## Why This Partnership Works ### Complementary Strengths * •Platform meets Delivery: inloop’s technology depth + SAM’SPACE’s domain expertise * •Global meets Local: 11 locations worldwide with federated talent model * •Speed meets Quality: AI efficiency + consultant accountability * •Innovation meets Execution: Discovery platform + implementation capability ### Aligned for Private Capital * •Both focused exclusively on PE, VC, and M\&A workflows * •Both champion Human+AI collaboration (not replacement) * •Both committed to compounding client intelligence over time * •Both operate on value pricing, not billable hours ### Proven Impact 70% time reduction vs. traditional due diligence 50-85% cost savings vs. Big 4 consulting \>95% confidence in deliverables (expert sign-off) Permanent advantage through institutional learning ### Secure Your 5-Day Sprint Experience the power of AI-led discovery with expert delivery. Transform your due diligence and value creation planning while building institutional intelligence that compounds over time. [Schedule a Consultation](/contact) # Privacy Policy > Learn how inloop.studio collects, uses, and protects your data. At inl∞p.studio, accessible from inl∞p.studio, one of our main priorities is the privacy of our visitors. This Privacy Policy document contains types of information that is collected and recorded by inl∞p.studio and how we use it. If you have additional questions or require more information about our Privacy Policy, do not hesitate to contact us. This Privacy Policy applies only to our online activities and is valid for visitors to our website with regards to the information that they shared and/or collect in inl∞p.studio. 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To know more detailed information about cookie management with specific web browsers, it can be found at the browsers’ respective websites. ## CCPA Privacy Rights (Do Not Sell My Personal Information) Under the CCPA, among other rights, California consumers have the right to: * Request that a business that collects a consumer’s personal data disclose the categories and specific pieces of personal data that a business has collected about consumers. * Request that a business delete any personal data about the consumer that a business has collected. * Request that a business that sells a consumer’s personal data, not sell the consumer’s personal data. If you make a request, we have one month to respond to you. If you would like to exercise any of these rights, please contact us. ## GDPR Data Protection Rights We would like to make sure you are fully aware of all of your data protection rights. 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If you make a request, we have one month to respond to you. If you would like to exercise any of these rights, please contact us. ## Children’s Information Another part of our priority is adding protection for children while using the internet. We encourage parents and guardians to observe, participate in, and/or monitor and guide their online activity. inl∞p.studio does not knowingly collect any Personal Identifiable Information from children under the age of 13. If you think that your child provided this kind of information on our website, we strongly encourage you to contact us immediately and we will do our best efforts to promptly remove such information from our records. ## Changes to This Privacy Policy We may update our Privacy Policy from time to time. Thus, we advise you to review this page periodically for any changes. We will notify you of any changes by posting the new Privacy Policy on this page. These changes are effective immediately, after they are posted on this page. ## Contact Us If you have any questions or suggestions about our Privacy Policy, do not hesitate to contact us at # Product > AI-Led Stakeholder Discovery for PE Value Creation # AI-Led Stakeholder Discovery for PE Value Creation The only platform that turns every transaction into institutional intelligence. ## The Complete Discovery Platform \[ MODULE 1 ] ### Discovery Design Define what to discover: * • Set objectives and key questions * • Define stakeholder groups * • Configure discovery methodology * • Set success criteria Your expertise designs the discovery. \[ MODULE 2 ] ### AI-Led Execution AI conducts interviews at scale: * • Natural conversational AI * • 20-30 stakeholders in parallel * • Adaptive questioning engine * • Real-time synthesis * • Multi-language support AI handles tactical execution. \[ MODULE 3 ] ### Intelligence Dashboard Access synthesized intelligence: * • Comprehensive insights view * • Pattern recognition * • Risk identification * • Actionable recommendations * • Export & integration (PDF, API) You make strategic decisions. \[ MODULE 4 ] ### Institutional Intelligence Engine Knowledge that compounds: * • Cross-deal pattern recognition * • Firm-specific knowledge base * • Learning from every discovery * • Strategic moats over time Your competitive advantage grows. ## Built for Enterprise PE ### Conversational AI * • Natural language interviews * • Adaptive questioning * • Deep probing capabilities * • Multi-stakeholder parallel execution ### Real-Time Synthesis * • Live insight generation * • Pattern recognition * • Risk flagging * • Comprehensive dashboards ### Enterprise Security * • SOC 2 Type II certified * • GDPR compliant * • Data encryption at rest & in transit * • Role-based access control ### Integrations * • API access * • PDF export * • CRM integration (coming soon) * • Slack/Teams notifications (coming soon) ### White-Label Options * • Custom branding * • Firm-specific workflows * • Dedicated instances * • Custom domains ### Dedicated Support * • Implementation assistance * • Training & onboarding * • Ongoing success management * • Priority support channel ## Enterprise-Grade Security Your data and your portfolio companies’ data are mission-critical. We take security seriously. ✓ SOC 2 Type II certified ✓ GDPR compliant ✓ Data encryption (AES-256) ✓ 99.9% uptime SLA [View Security Documentation](/contact) ## Ready to See the Platform in Action? Schedule a personalized demo to see how inloop can accelerate your value creation process. [Book a Demo](/contact)[View Pricing](/pricing)