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Self-managed. Ready to grow.

AI-native data collection.
Real insight.

An AI-native workspace for forms, files and feedback across teams. Your definitions and history give AI context from the start. Your data owners manage collection and access within your organization’s rules.

Start with one workflow. Add teams and use cases as you grow.

Forms
Files
Feedback
One connected workspace
Definitions and history stay with every update.
People
History
Definitions
AI answers. Evidence you can check.Your team reviews and decides.
Governed by your organization. Managed by your team.

Five capabilities.
One connected workflow.

Context starts at collection.
Each new team builds on shared definitions and connected history.

Illustrative feedback workflow · members, customers or employees
Shared definitions guide AI

Interpret consistently. Flag mismatches before combining results.

Data dictionary
Positive = 4–5 on a 5-point scale
Reporting periods
Earlier Latest Follow-up
Review criteria
Same question. Same scoring scale.
Collect flexibly
Feedback check-in
Team or location
Responses
Files + feedback
Keep the history
Same question over time
Earlier period
61%
Latest period
78%
Analyze on arrival
+17 points
Positive feedback increased.
Explore what changed.
Clear governance. Your team manages the work.

Your policies set the boundaries.

Contacts & folders
Feedback / Team A
Contacts & response history
Timeline · 30-day follow-up
What would make this better?
Permissions
Data owners
Can edit
Reviewers
Can view

Authorized owners improve collection and test new questions within policy—without an IT or vendor project for every routine change.

Example data. The same capabilities support all eight workflows below.
Connect relevant history. Preserve anonymous feedback.

WHEN DATA COLLECTION OUTGROWS DISCONNECTED TOOLS

Multiple locationsRecurring collectionExternal contributorsMixed sourcesShared reporting
Sopact Sense · Product features

The tools for
everyday work.

Collection, reporting and analysis work together in Sopact Sense. Explore the product screens, then see the Assistant in action.

Sopact Sense: Build surveysView product screen ↗

Build surveys

Collect recurring check-ins, assessments and feedback across teams and programs.

Sopact Sense: Collect across languagesView product screen ↗

Collect across languages

Collect responses across languages, including Spanish, French, German, Chinese and Arabic.

Sopact Sense: Connect the right contactsView product screen ↗

Connect the right contacts

Connect each survey to the relevant participant group and manage responses in one place.

Sopact Sense: Update collection stagesView product screen ↗

Update collection stages

Update questions as your collection needs change, including baseline, midpoint and follow-up stages.

Sopact Sense: Create shareable reportsView product screen ↗

Create shareable reports

Turn collected information into reports your team can read and share.

Sopact Sense: Summarize responsesView product screen ↗

Summarize responses

Summarize responses and surface findings for review alongside your quantitative data.

Sopact Sense · AI Assistant

Then ask your data
a question.

Ask about the responses, documents and history your team has collected. Explore the answer and the evidence behind it.

See it with your own workflow ↗

Illustrative training example. Figures are not customer results.

Replay conversation ↻
Sheep grazing on a lush green hillside under a cloudy sky.
Portrait of a woman with short dark hair wearing gold hoop earrings, a black turtleneck, and a brown blazer, smiling softly against a neutral background.
Training cohort review
Baseline + exit assessments
How did skills change for this cohort?
Skills proficiency rose from 61% to 78%.
That is a 17-point increase.
Source: baseline and exit assessments. Check who responded at both stages before comparing.
Marco Botha, CEO and co-founder of Open Play Foundation
Marco Botha
CEO & co-founder, Open Play Foundation
Customer story · Open Play Foundation
“I’m digitizing our entire business through Sopact.”

Open Play connects facility activity, coaching, maintenance and water data. The team spotted a water leak while it could act, then brought evidence from ten programs into one funder report.

10 programs. One funder report.Evidence grouped by facility, activity, coach and gender parity.
One working recordDaily operations and reporting draw on the same information.
Used by teams across sectors
Open Play FoundationThe King CenterKuramo FoundationAmerican Heart Association VenturesAudibleWWF
Explore customer stories ↗
Customer stories

See what customers
are building.

Explore all 28 stories ↗
Open Play Foundation

One record for every decision.

How Open Play Foundation centralised its operational and impact data across its sports facilities in Stellenbosch.

Read the published story ↗
Kuramo Foundation

A gender-lens framework, made live.

How Kuramo Foundation turned an impact framework into a live dashboard before its gender-lens initiative launched.

Read the published story ↗
American Heart Association leaders and honorees at the 2026 Impact with Heart event. Photograph by Walter Johnson Jr.
American Heart Association Ventures

A growing portfolio. One connected company record.

How AHA Ventures is connecting company evidence, impact plans and reporting as its investment portfolio grows.

Read the published story ↗
Food4Education kitchen staff preparing beans at the Kiambu kitchen.
Food4Education

It started with supply-chain data. The goal is the whole picture.

How Food4Education is using Sopact in everyday work while building toward connected context across its school-feeding operations.

Read the published story ↗
King Center

Feedback that becomes usable insight.

How the King Center finally read the open-ended feedback it had been collecting all along.

Read the published story ↗
Pittsburgh skyline, home of Carnegie Mellon University
Carnegie Mellon University

Every application read. Every score accountable.

How CMU Project Olympus moved from a tight application deadline to a rubric-backed shortlist without a months-long implementation.

Read the published story ↗
Action on Poverty

Many programmes. One view.

How Action on Poverty reports on programs in 14 countries to funders who each want something different.

Read the published story ↗
Kennedy Center

Belonging, made visible across every programme.

How the Kennedy Center measures belonging across fourteen programs and four stakeholder groups on live data.

Read the published story ↗
ASME

Qualitative feedback, turned into working insight.

How ASME turned qualitative data it had only ever used as impact stories into analysed stakeholder insight.

Read the published story ↗
Amazon — Audible

Common goals, made measurable.

SoPact has implemented an Outcome Tracker dashboard for improved internal reporting and resource allocation.

Read the published story ↗
Miller Center for Social Entrepreneurship

Build measurement capacity, not dependency.

How Miller Center built measurement capacity inside more than a hundred social enterprises, rather than handing them a dashboard.

Read the published story ↗
WWF South Africa

One narrative for a connected landscape.

How WWF South Africa assembled evidence from four goals and several partners into a single funder-ready narrative.

Read the published story ↗
Institute of the Americas team outside the Institute of the Americas building.
Institute of the Americas

A bilingual pathway for the next generation of CaliBaja leaders.

How the Institute of the Americas is designing a bilingual, rubric-based application workflow for a planned 10-month leadership programme spanning Mexico and the United States.

Read the published story ↗
A woman working on embroidery in a Promotora Social México image.
Promotora Social México

One grant record. Reporting that can keep up.

How Promotora Social México is connecting multilingual grant evaluation and reporting in a single evidence workflow.

Read the published story ↗
Boston Impact Initiative

Less spreadsheet work. More fund manager learning.

How Boston Impact Initiative stopped losing hours to spreadsheets and got back to training fund managers.

Read the published story ↗
Lantern Network mentees and mentors at a career-development event
The Lantern Network

One record for every learner.

How The Lantern Network is turning disconnected training feedback into one evidence practice for participant growth.

Read the published story ↗
Double Delta

Two funds. One shareable view.

How Double Delta turned investee data into a shareable view that helps attract investors for future funds.

Read the published story ↗
Crossroads

Invest in what stakeholders value.

How a CDFI aligned its investment strategy with what its stakeholders actually care about, from sourcing to exit.

Read the published story ↗
Savanna Solutions

Workforce outcomes that do not stay anecdotal.

How Savanna Solutions is structuring outcome measurement so its workforce results are visible rather than anecdotal.

Read the published story ↗
Gravity Water

One survey in every language.

How Gravity Water replaced multiple tools, manual translation and phone calls for meter readings with one multilingual survey.

Read the published story ↗
Steinman

Fund what the evidence supports.

How the Steinman Foundation stopped reading summarised grantee reports and started hearing from stakeholders directly.

Read the published story ↗
54 Collective

Learn from impact data before the cohort ends.

How 54 Collective began learning from its impact data within a month, without sending founders more surveys.

Read the published story ↗
Two girls pictured outdoors on the Girls Inc. of Metropolitan Dallas website.
Girls Inc. of Metropolitan Dallas

Her progress should not reset with the fiscal year.

How Girls Inc. of Metropolitan Dallas is connecting participant records, programme feedback and progress across reporting years.

Read the published story ↗
Encorps

The tutoring threshold, made visible.

How EnCorps found the tutoring threshold that actually moves math scores in high-needs schools.

Read the published story ↗
Talent Beyond Boundaries

Live data for life-changing opportunity.

How Talent Beyond Boundaries replaced a heavy Salesforce and BI stack with one suite, live in under three months.

Read the published story ↗
Food For Poor

From delivery counts to lives changed.

How Food For Poor moved from counting what it delivered to measuring whether lives actually changed.

Read the published story ↗
Boys To Men Tucson — published story image
Boys To Men Tucson

Show the full picture, not the highlight reel.

How Boys To Men Tucson tracks 198 youth across 23 sites, and shows funders the full picture rather than a highlight reel.

Read the published story ↗
WorldSkills participant at the Lyon 2024 closing ceremony, with a national flag.
WorldSkills International

One global network. One connected dataset.

WorldSkills International and Sopact are building a long-term data foundation for a 90-Member network—connecting teams, languages, and learning across event cycles.

Read the published story ↗

A PARTNERSHIP AROUND YOUR WORK

Start with one workflow.
Build your team’s capability.

Bring your question and a sample of the information you collect. We’ll explore the right setup and support with you.

Choose a question

Start with one decision and the team responsible for it.

Set up the workflow

Agree on contributors, collection stages, definitions and access.

Review and improve

Examine the evidence, refine collection and build confidence through use.

FAQ

Before you get started

Who is Sopact designed for?

Teams managing recurring data collection across people, partners, locations and sources—especially when documents, feedback and follow-ups need to stay connected.

Is Sopact a data warehouse or a Salesforce replacement?

No. Sopact focuses on collecting and understanding data throughout a person’s, partner’s or program’s lifecycle. Existing enterprise systems can stay in place; setup defines which records and connections the workflow needs.

Do we collect data in Sopact or bring existing records?

Both. Collect recurring responses, documents and follow-ups in Sopact, and bring relevant existing records into the workflow through agreed imports or integrations.

What does governance mean in everyday work?

Agree on whose record you are looking at, what each field means, where information came from, and who should use it. Those choices give analysis its context and make answers easier to review.

How does AI use the surrounding context?

AI interprets a response or document alongside related records, shared definitions and review criteria. Your team reviews the supporting evidence before acting.

Do we need to change every collection workflow at once?

Start with one workflow and a dedicated data owner. Establish the collection and review process, then extend it when your team is ready.

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