Rights before retrieval
Licensed research is usually licensed for people, not machines. SinglePoint brings research from 150+ providers with AI use-rights already negotiated.
PlatformSinglePoint PlatformAI-Ready IntelligenceAlways-On AgentsIntelligence in Your ToolsCurated Intelligence CollectionsPrimary Market ResearchHow It WorksHow SinglePoint WorksSolutionsFinancial ServicesLife Sciences & HealthcareIT & TelecomManufacturing & IndustrialBy Use CaseFor IT & ExecutivesSolutions OverviewResourcesResearch & InsightsGenerative AI GovernanceHow SinglePoint ComparesCase StudiesAnalyst Recognition
About
LeadershipCareersBook a Live DemoThe governed knowledge layer for market decisions
Your agents can read what you own. On market and competitor questions, they guess. SinglePoint gives the assistants and agents in your stack market and proprietary intelligence that's enriched, permissioned and cited to the page, connected through MCP.
Plugs into the AI you already run
Trusted by Fortune 100 and global industry leaders
- UBS
- Johnson & Johnson
- AbbVie
- Cigna
- Verizon
- Caterpillar
- Prudential
- Discover
Why now
On market questions, your agents are guessing.
Your context layer gives agents your internal data. But the decisions that matter most, like pricing, launches, portfolio bets and competitive response, depend on the market. Without a governed source, agents read the open web or nothing, and the research you already license sits where your AI isn't allowed to read it.
Enriched, not just indexed
Every document is classified and tagged to your taxonomy with 60,000+ industry terms, so agents retrieve the right evidence in your industry's vocabulary.
Permissions on every request
Identity and entitlements from your identity provider travel with every agent request, down to the document.
Cited to the page
Every claim traces to its source, and a coverage check declines when the evidence is thin, so answers hold up in a leadership review.
Architecture
Your context layer for internal data. Ours for the market.
Keep the context layer you're building. SinglePoint sits beside it as the governed source for market and competitive questions. Your orchestrator delegates those questions over MCP, gets an answer cited to the page, and hands it to downstream agents, instead of every team building its own retrieval.
Power your own agents
An MCP server and APIs give your agents, copilots and workflows enriched, cited, permissioned content from your research and 150+ licensed providers.
Meet people where they work
The same governed answers in Copilot, Claude, ChatGPT and Gemini, plus deep research and conversational intelligence in SinglePoint for analysts who go deeper.
Plugs into the stack you already run
A Copilot agent, MCP, Salesforce and APIs connect SinglePoint to your enterprise systems, so market intelligence flows where work already happens.
For architects and security
What your architect and security team need to verify.
SinglePoint pairs research-specific enrichment with enterprise controls your team can verify: identity and permissions, audit and data handling, integration, and where it runs.
- SSO and document-level permissions.Access inherited from your identity provider, down to the document.
- SOC 2 Type II audited, with full activity logging.Data residency configured to your requirements, zero data retention in AI processing and no training on your content.
- MCP-ready and API-based integration.An MCP server, Copilot agent, APIs and data feeds for your assistants, agents and systems.
- Single-tenant, or in your own cloud VPC.Run SinglePoint inside your own cloud environment on AWS, Microsoft Azure or Google Cloud, using your LLM, with documents encrypted using keys you hold.
Implementation
Your first agent use case, live within 12 weeks.
Start with one agent job tied to a decision a business leader already owns. Northern Light's standard methodology delivers a first release within 12 weeks, in seven tracked stages, then you add agents and teams on the same platform.
- 01Project initiation & solution designWeeks 1–2
- 02Platform configurationWeeks 3–5
- 03Identity, access & securityWeeks 4–6
- 04Internal content integrationWeeks 5–8
- 05External content integrationWeeks 6–9
- 07Production launchWeeks 10–12
ThenExpand, optimize, grow
Expert program support and enablement are included, with a track record of enterprise-wide deployments serving 15,000+ end users at a single customer.
Hand this to your security team
Your reviewers will want the detail, not the pitch.
SOC 2 Type II audit, zero data retention in AI processing, single-tenant isolation, SSO, document-level permission inheritance and AI use-rights, documented for your security, legal and procurement reviewers.
See security & trust- SOC 2 Type II report and bridge letter
- Architecture and data-flow documentation
- Pre-filled security questionnaire
- AI use-rights summary, audit-ready
Analyst recognition
A Leader in the Gartner® Magic Quadrant™ and a Strong Performer in The Forrester Wave™, with top marks for innovation.
Independent validation that SinglePoint is enterprise-ready, and that the intelligence advantage it delivers is real. Forrester gave Northern Light the second-highest Strategy category score of all vendors evaluated, and Northern Light was one of two vendors to receive the highest possible score in the innovation criterion.
Read the Gartner Magic Quadrant reportA global pharma brought SinglePoint in within its existing security and permissions, and grew from 100 to 16,000 users without cost multiplying.
Gartner, Magic Quadrant for Competitive and Market Intelligence Platforms, Rahim Kaba, Dan Tolan, Chris Meering, Ethan Budgar, 21 April 2026. GARTNER is a registered trademark and service mark and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
The Forrester Wave™: Market And Competitive Intelligence Platforms, Q3 2026. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.
Common questions
What AI and IT leaders ask.
Don't we already have this in our stack?
You have search over what you own. SinglePoint adds curated market intelligence married to your proprietary intelligence, enriched and cited, so agents built for decision use cases get better answers. It augments your stack rather than duplicating it.
Is SinglePoint a context layer?
For market and competitive decisions, yes. Your data platform stays the context layer for your internal data. SinglePoint is the governed knowledge layer for market decisions, and your agents call both.
Which assistants and agents does it work with?
Copilot, Claude, ChatGPT, Gemini and your own orchestrators connect through the SinglePoint MCP server or API, and your identity provider's permissions apply to every request.
How does pricing work as agents scale?
Pricing is platform-based, not per seat, with agent and MCP usage in committed tiers, so capacity stays predictable as adoption grows. One global pharma grew from 100 to 16,000 users without cost multiplying.
Related
See where SinglePoint fits in your AI stack.
We'll walk your AI, architecture and security teams through how SinglePoint connects to your agents, identity and controls, and map out your first agent use case.
Book an architecture session