Making Sense
Making Sense is a Palo Alto-based, private technology consulting firm with roughly 300 staff across the US, Canada, Mexico, Colombia, and Argentina that delivers AI-led services — workflow automation, agentic AI, AI-enabled software development, and adoption enablement — to mid-market companies and private-equity-backed businesses.
- Company typePrivate
- Founded2006
- HeadquartersPalo Alto, United States
- Headcount101–250
- GTM typeB2B
- OfferingServices
What Making Sense does
Making Sense is a private technology consulting firm founded in 2006 and headquartered in Palo Alto, California, with a nearshore delivery model spanning nine offices across Palo Alto, Toronto, Dallas, Mexico City, Medellín, and four Argentine cities (Córdoba, Buenos Aires, Tandil, Mar del Plata). The firm employs roughly 300 technologists and designers and operates without any disclosed institutional investors, parent company, or public listing.
The company's service portfolio is organized around four AI-led pillars: Intelligent Workflow Automation (built on n8n, Make, Zapier, Power Automate, and custom APIs); Agentic AI Solutions (autonomous agents and RAG pipelines built with LangChain, LangGraph, CrewAI, and LangSmith); AI-Enabled Software Development (Claude Code, GitHub Copilot, Cursor, Codex, MCP); and AI Adoption & Enablement (maturity assessments, prompt engineering, change management, Center of Excellence setup). These are supplemented by four pre-built AI Jumpstart Kits (Engineering Efficiency, DevOps Optimization, AI-Enhanced QA, Data Activation) that target 4-6 week deployments, and a broader technology-advisory layer covering AI & Data Strategy, Legacy System Modernization, Cloud & Scalable Architectures, Custom Software Development, and UX & Product Design. Delivery follows a four-step framework (Empathize, Define, Prototype, Deliver & Scale) with a stated 90-day path to first measurable AI outcome.
Making Sense generates revenue through professional services engagements, primarily with mid-market companies and private-equity-backed portfolio companies. Its go-to-market is sales-led, originating from direct outreach, discovery conversations, and free assessment tools (AI ROI Calculator, AI Readiness Assessment). Customer concentrations span agtech, fintech, healthcare, legal, security, and consumer services — including named case-study clients Esquire Depositions, Auto Approve, Hanwha Vision, Viallion, and Vetsource — alongside a logo gallery featuring Bloomberg, Bain Capital, SoftBank, Royal Canin, Urus, Opya, and Vas. Pricing is not publicly disclosed and no rate card is available.
Making Sense firmographics
Firmographics- Name
- Making Sense
- Legal name
- Making Sense LLC
- Website
- https://makingsense.com
- Company type
- Private
- Founded year
- 2006
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Making Sense is a Palo Alto-based, private technology consulting firm with roughly 300 staff across the US, Canada, Mexico, Colombia, and Argentina that delivers AI-led services — workflow automation, agentic AI, AI-enabled software development, and adoption enablement — to mid-market companies and private-equity-backed businesses.
- Ownership category
- akta.pro rank
Making Sense industry classification
Industry- Product category
- Technology Consulting Services
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Other Computer Related Services (541519)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370), Services-Management Consulting Services (8742)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industries
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Industry/Domain Analytics Solutions & Accelerators (BPAEAHAK), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Making Sense is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Offices9 records
Markets served
Making Sense business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Marketing or Sales, Technology or R&D, Infrastructure
Revenue model
- Consulting and Professional Services: Technology consulting services including AI strategy, digital transformation, technology advisory, and implementation services delivered through strategic client partnerships with nearshore delivery model.
Go-to-market motion2 records
Distribution channels2 records
Marketing channels6 records
Making Sense product offering
Product offeringCore offering
Making Sense is a technology consulting firm that designs and implements AI-driven business solutions for mid-market companies and private equity-backed businesses. Its core offerings span Intelligent Workflow Automation, Agentic AI Solutions, AI-Enabled Software Development, and AI Adoption & Enablement services, delivered through a four-step Empathize–Define–Prototype–Deliver & Scale framework with a 90-day path to first measurable AI outcome. It also packages pre-built AI Jumpstart Kits (Engineering Efficiency, DevOps Optimization, AI-Enhanced QA, Data Activation) that deliver value in 4–6 weeks, complemented by broader technology advisory across AI & Data Strategy, legacy modernization, cloud architectures, custom software development, and UX/product design.
Product overview
Making Sense is a technology consulting firm offering a portfolio of AI-driven services for mid-market companies and private equity-backed businesses. Their core service offerings include Intelligent Workflow Automation (using platforms like n8n, Make, Zapier, and Power Automate), Agentic AI Solutions (autonomous AI agents built with LangChain, LangGraph, and CrewAI), AI-Enabled Software Development (accelerated via Claude Code and GitHub Copilot), and AI Adoption & Enablement (maturity assessments, training, and Center of Excellence setup). These are delivered through their four-step engagement framework (Empathize, Define, Prototype, Deliver & Scale) with a 90-day path to first measurable AI outcome. Supplementing their services, they offer four AI Jumpstart Kits (Engineering Efficiency, DevOps Optimization, AI-Enhanced QA, and Data Activation) for faster time-to-value deployments in 4–6 weeks. They also publish thought leadership content on technology portfolio management, digital transformation ROI measurement, and AI implementation challenges. The company does not offer a single unified product but rather a suite of consulting and implementation services tailored to each client's needs.
Differentiator
Problem solved
Functional benefit
Products and services
- Intelligent Workflow Automation Design and implementation of AI-powered automation pipelines that connect systems, eliminate manual tasks, and scale operations — from simple triggers to complex multi-step orchestrations — using platforms and tools such as n8n, Make, Zapier, Power Automate, and custom APIs. Targeted at mid-market and PE-backed businesses seeking workflow automation and integration.
- Agentic AI Solutions Building autonomous AI agents — from customer-facing assistants to internal research agents — that reason, execute, and deliver results independently using multi-agent system architectures, tool-use and function calling agents, RAG pipelines and knowledge bases, and agent observability and evaluation frameworks (LangChain, LangGraph, CrewAI, LangSmith).
- AI-Enabled Software Development Embedding AI into the development lifecycle to accelerate product roadmaps, ship faster with higher quality, and reduce cost using Claude Code, GitHub Copilot, Cursor, Codex, and MCP — delivering AI-augmented SDLC integration, custom AI-powered features and products, QA and automated testing, and API and system integrations.
- AI Adoption & Enablement Organizational AI readiness services including AI maturity assessments, prompt engineering, change management, and Center of Excellence setup — combined with role-specific training programs, use-case discovery and prioritization, and AI champions programs to sustain AI growth.
- Engineering Efficiency Kit An AI Jumpstart Kit focused on automating low-value development work, reducing friction, and reclaiming team capacity for engineering teams. Delivered in approximately 4 weeks as a fixed-scope packaged AI deployment.
- DevOps Optimization Kit An AI Jumpstart Kit delivering smarter alerts, faster root cause analysis, and lower cloud costs for DevOps and platform engineering teams. Delivered in 4–6 weeks as a fixed-scope packaged AI deployment.
- AI-Enhanced QA Kit An AI Jumpstart Kit for automating test case generation and regression checks, enabling faster shipping with fewer bugs for QA and engineering teams. Delivered in approximately 4 weeks as a fixed-scope packaged AI deployment.
- Data Activation Kit An AI Jumpstart Kit for turning disconnected data into dashboards, summaries, and natural language queries for data and analytics teams. Delivered in 4–6 weeks as a fixed-scope packaged AI deployment.
- AI & Data Strategy Consulting Technology advisory service designing AI and data strategies aligned with business goals, assessing readiness, and implementing scalable, secure solutions using proven AI integration methodologies for mid-market and PE-backed organizations.
- Legacy System Modernization Technology advisory for modernizing legacy IT systems through cloud-native architectures, reducing operational costs, enhancing security, supporting scalability, and enabling AI integration for mid-market and enterprise clients.
- Cloud & Scalable Architectures Technology advisory covering cloud migration and system integration to ensure architecture is built for seamless performance and scalable growth, for mid-market and enterprise clients.
- Custom Software Development Building tailored software that solves real business problems, adapts to change, and drives business outcomes — leveraging AI-augmented development practices for mid-market and enterprise clients.
- UX & Product Design Designing intuitive digital experiences that drive engagement and long-term business value, combining design, UX, technology, and business strategy for mid-market and enterprise clients.
Quantifiable outcome
- 25% average increase in enterprise valuation
- +8 more outcomes
Companies that use Making Sense
Customer profileNamed customers5 records
Segments7 records
Ideal customer profiles3 records
Making Sense technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability14 records
Feature5 records
Making Sense partnerships and signals
Strategic signalScale indicators8 records
Recent moves6 records
Expansion highlights6 records
Making Sense competitors and assessment
Company assessmentDirect peers
- Globant: Large LATAM-headquartered digital and AI engineering services firm with global delivery centers. Closest direct peer to Making Sense given overlapping nearshore Americas footprint, similar mid-market and enterprise AI implementation focus, and comparable custom software and AI engineering capabilities.
- Slalom: US-based technology and business consulting firm focused on mid-market and enterprise digital transformation. Comparable to Making Sense in target customer (mid-market, PE-backed), emphasis on outcome-driven delivery, and breadth of AI/data/cloud service lines.
- Encora: Nearshore digital engineering services firm with significant LATAM delivery presence. Direct peer to Making Sense on nearshore Americas model, custom software development, and AI/ML engineering services for enterprise clients.
- Thoughtworks: Global technology consultancy specializing in custom software, platform engineering, and AI/data strategy. Comparable to Making Sense in serving mid-market and enterprise clients with outcome-driven digital transformation and AI engineering services.
- BairesDev: LATAM-headquartered nearshore software development and AI services provider. Closely comparable to Making Sense on the nearshore Americas delivery model, custom software engineering, and AI implementation offerings for North American clients.
Emerging players
- Rootstrap: Smaller AI and digital product consultancy with nearshore delivery and strong emphasis on AI-enabled software development and GenAI applications. Comparable to Making Sense on service mix and tech stack, though smaller in scale and brand.
Broad incumbents
- Accenture: Global systems integrator and consulting leader with a massive AI implementation practice. Comparable in service breadth and target enterprise/PE buyer, but operates across far more verticals and geographies at much greater scale.
- Deloitte (Deloitte Digital / Consulting): Big Four professional services firm with large AI, cloud, and digital transformation practices. Comparable to Making Sense on AI strategy and enterprise transformation services, but with much broader portfolio and deeper enterprise relationships.
- Cognizant: Global IT services and consulting firm with established AI and digital engineering practices. Overlaps with Making Sense on custom software, AI engineering, and enterprise digital transformation, though at significantly larger scale and broader geographic reach.
- Tata Consultancy Services: Global IT services giant with extensive AI, cloud, and digital transformation offerings. Comparable to Making Sense on AI engineering and custom software delivery for enterprise clients, but at a vastly different scale, geography, and breadth.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Making Sense social profiles
Digital presenceMaking Sense financial estimates
Financial estimateRevenue estimate
Valuation estimate
Making Sense leadership team
Management profileNumber of profiles
Profiles10 records
Making Sense funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Making Sense M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Making Sense
What does Making Sense do?
Making Sense is a technology consulting firm that designs and implements AI-driven business solutions for mid-market companies and private equity-backed businesses. Its core offerings span Intelligent Workflow Automation, Agentic AI Solutions, AI-Enabled Software Development, and AI Adoption & Enablement services, delivered through a four-step Empathize–Define–Prototype–Deliver & Scale framework with a 90-day path to first measurable AI outcome. It also packages pre-built AI Jumpstart Kits (Engineering Efficiency, DevOps Optimization, AI-Enhanced QA, Data Activation) that deliver value in 4–6 weeks, complemented by broader technology advisory across AI & Data Strategy, legacy modernization, cloud architectures, custom software development, and UX/product design.
Is Making Sense a public or private company?
Making Sense is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Making Sense founded?
Making Sense was founded in 2006. It employs 101 to 250 people.
Where is Making Sense based?
Making Sense is headquartered in Palo Alto, United States, in the North America region.
How does Making Sense make money?
One revenue line is on record: consulting and Professional Services.
Who are Making Sense's main competitors?
Direct peers on record are Globant, Slalom, Encora, Thoughtworks and BairesDev. Rootstrap is listed as an emerging player. Broad incumbents are Accenture, Deloitte (Deloitte Digital / Consulting), Cognizant and Tata Consultancy Services.
Does Making Sense have an API?
No public API is recorded for Making Sense.
What industry is Making Sense in?
Making Sense's product category is Technology Consulting Services. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 541511 and its SIC code is 7371.