Tellagence

Cover Block

Field	Value
Name	Tellagence
Tagline	AI-powered platform for contextual analysis of language-based data in marketing and social analytics
Headquarters	Oregon City, Oregon, USA
Founded	2011
Stage	Seed
Business Model	SaaS (subscription)
Industry	Marketing and Social Analytics
Technology Type	AI / Machine Learning (NLP)
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2): Matt Hixson, Nitin Mayande
Funding Label	Undisclosed

Links

• Website: https://www.tellagence.ai/
• LinkedIn: https://www.linkedin.com/company/tellagence
• X / Twitter: https://twitter.com/tellagence
• Facebook: https://www.facebook.com/Tellagence

Summary and Signal

Tellagence is an Oregon-based AI software company that applies natural language processing to marketing and social analytics, with the stated aim of moving brands beyond keyword listening into contextual meaning and sentiment [Tellagence]. The company was founded in June 2011 by Matt Hixson and Nitin Mayande, and has operated for over a decade as a small, capital-efficient team headquartered in Oregon City [Dealroom]. Its core product proposition, summarized on the company's pricing page as "$1 in, $9 out," positions the platform as a measurable ROI tool rather than a discovery dashboard [Tellagence]. The technical credibility of the team rests heavily on Mayande, a former data scientist at Nike whose published work has been cited in mainstream business press [Forbes, 2018], paired with Hixson's go-to-market and executive education background [Topio Networks]. Investors of record include Portland Seed Fund and Rogue Venture Partners, though no priced rounds have been publicly disclosed [ZoomInfo]; a third-party SaaS database reports 2024 revenue of approximately $1.4M on a 17-person team [GetLatka, 2024]. Over the next 12 to 18 months, the questions worth tracking are whether Tellagence raises priced capital to scale distribution, whether it names enterprise customers publicly, and how it differentiates contextual NLP from the wave of LLM-native analytics entrants.

Data Accuracy: GREEN -- Confirmed by Tellagence website, Dealroom, ZoomInfo, GetLatka, and Forbes.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	SaaS / subscription
Industry / Vertical	Marketing analytics, social media intelligence
Technology Type	AI / NLP for contextual sentiment
Geography	North America (Oregon, USA)
Growth Profile	Venture scale, capital-efficient
Founding Team	Two co-founders, technical + commercial split
Funding	Undisclosed seed; Portland Seed Fund, Rogue Venture Partners on cap table

Company Overview

Tellagence was launched in June 2011 in Oregon City, Oregon, by Matt Hixson and Nitin Mayande, with a thesis centered on understanding how information and influence move through social networks rather than simply counting mentions [Dealroom] [Tracxn, 2025]. The company describes itself publicly as a partner that helps brands "go beyond listening" by examining what is being said in context to surface meaning and sentiment [Tellagence]. A third-party profile characterizes the firm as having "pioneered AI marketing tools that have empowered influential brands to understand trends and drive culture since 2011" [ZoomInfo].

The company's operating footprint has remained deliberately small. Dealroom lists employee count in the 11 to 50 band, and a SaaS revenue tracker reported a 17-person team in 2024 [Dealroom] [GetLatka, 2024]. Recent ZoomInfo activity points to ongoing hiring, including an AI engineering intern who joined in August 2025 [ZoomInfo]. The company maintains a standard SaaS commercial surface, including a public pricing page and a privacy policy referencing California consumer rights [Tellagence].

Key milestones publicly verifiable today are the 2011 founding, the addition of Portland Seed Fund and Rogue Venture Partners to the cap table at an undisclosed stage [ZoomInfo], and the 2024 revenue figure of approximately $1.4M reported by GetLatka [GetLatka, 2024]. Tracxn explicitly notes the company "has not raised any funding rounds yet" in its public records [Tracxn, 2025].

Data Accuracy: GREEN -- Confirmed by Dealroom, Tracxn, ZoomInfo, and the company website.

The Product and the Stack

The core product is a SaaS platform that applies AI to language-based data, with the explicit promise of contextual interpretation rather than surface-level keyword or volume tracking [Tellagence]. The company frames its differentiation in a single line on its homepage: "Only Tellagence has the AI to examine what's being said in context, which lets you understand meaning and sentiment like never before" [Tellagence]. A secondary description from a contact-data vendor characterizes the offering as "bespoke AI solutions for comprehensive marketing analytics" [LeadIQ].

The pricing page anchors the commercial pitch to a return-on-investment claim of "$1 in, $9 out" [Tellagence]. Dealroom's tagging of the company spans subscription, B2B, media, social media, big data, predictive analytics, and influencer marketing [Dealroom].

On the technical side, Tracxn references "linguistics models" as the underlying capability [Tracxn, 2025], and Mayande's prior data-science work at Nike is consistent with a network-analysis heritage [Forbes, 2018]. Whether the current product integrates third-party foundation models, runs proprietary models, or blends both is not disclosed in public materials reviewed.

Data Accuracy: YELLOW -- Product positioning confirmed by Tellagence and LeadIQ; underlying model architecture not publicly documented.

Market Research and Opportunity

The market for contextual language analytics matters now because generative AI has simultaneously expanded what brands expect from social and marketing intelligence and compressed the cost of building it. Tellagence operates at the intersection of three adjacent buyer categories: social listening, marketing analytics, and customer experience intelligence.

Dealroom classifies Tellagence within "social media," "big data," "predictive analytics," and "influencer marketing" sub-segments [Dealroom]. The demand drivers most clearly visible in the cited research are the shift from volume-based listening to meaning-based analysis and the appetite among brand and agency buyers for measurable ROI claims [Tellagence].

Metric	Value
Reported 2024 revenue	$1.4M
Reported 2024 headcount	17
Dealroom employee band	11 to 50
Dealroom enterprise value band	$120k to $180k (estimated)

Data Accuracy: YELLOW -- Revenue and headcount from a single tracker (GetLatka); category sizing is analogous rather than directly cited.

The Competitive Field

Tellagence sits in a category populated by well-capitalized incumbents and a fast-growing cohort of LLM-native challengers, and its positioning rests on contextual interpretation rather than reach or breadth of integrations [Tellagence].

The segment-by-segment map breaks into three groups: enterprise social listening incumbents, marketing analytics and customer-experience suites, and LLM-native analytics startups. Tellagence's homepage language places it explicitly against the first group by claiming contextual depth rather than listening volume [Tellagence].

Where the company has a defensible edge today, the strongest evidence points to its technical heritage. Co-founder and Chief Scientist Nitin Mayande's prior work at Nike on data science and information diffusion has been cited in business press [Forbes, 2018], and the company's longevity means it has likely accumulated more domain-specific training data and model tuning than newer entrants. That edge is partially perishable: the cost advantage that proprietary NLP enjoyed pre-2022 has narrowed considerably as foundation models have commoditized basic sentiment classification.

Where Tellagence is most exposed is on distribution and brand recognition. Without a named priced funding round on record [Tracxn, 2025], the company likely cannot match the sales-and-marketing budgets of incumbents. The most plausible 18-month competitive scenario: Tellagence wins if a mid-market segment of brand and agency buyers prioritizes contextual accuracy and demonstrable ROI over enterprise-suite breadth; it loses ground if a well-capitalized LLM-native entrant bundles equivalent contextual analysis into a broader analytics workflow at aggressive pricing before Tellagence raises growth capital.

Data Accuracy: ORANGE -- No named competitors in source set; competitive map inferred from category structure and Dealroom tagging.

Opportunity

If Tellagence executes against the contextual-analytics thesis it has spent over a decade refining, the size of the prize is meaningful: becoming the trusted contextual layer that sits between raw social and language data and the marketing decisions enterprises make with it.

The headline opportunity

The single largest outcome Tellagence could plausibly become is the contextual-intelligence vendor of choice for brand and agency buyers who have grown skeptical of keyword-based listening tools and are unwilling to trust raw LLM output without a domain-tuned interpretation layer. The cited evidence makes that outcome reachable rather than aspirational on three counts: the company has 14 years of operating history and accumulated domain expertise [Dealroom]; it has reached approximately $1.4M in revenue with a 17-person team [GetLatka, 2024]; and its public positioning is already explicitly against listening-volume incumbents [Tellagence].

Two or three growth scenarios

Scenario	What happens	Catalyst	Why it's plausible
Agency channel land-and-expand	Tellagence becomes the contextual-analytics engine embedded inside large marketing and PR agencies	Signed framework agreement with a top-20 holding-company agency	Tellagence already describes itself as serving "influential brands" [ZoomInfo] [Tellagence]
ROI-led mid-market expansion	The "$1 in, $9 out" claim becomes a published, audited case study	Public customer reference with named brand and quantified results	The pricing page already anchors the commercial pitch to a measurable ROI claim [Tellagence]
API / embedded layer	Tellagence licenses its contextual NLP as an API to other analytics and CX platforms	A named platform partnership	Mayande's research heritage and the company's "linguistics models" framing suggest the underlying technology is licensable [Tracxn, 2025] [Forbes, 2018]

What compounding looks like

The flywheel that turns one win into the next is data plus interpretation. Each enterprise or agency engagement produces brand-specific labelled examples of what "good" contextual interpretation looks like in that vertical. The early evidence that the flywheel is starting is the company's revenue per employee profile (approximately $82k per employee implied by the GetLatka numbers, [GetLatka, 2024]), which is consistent with a software gross-margin business.

The size of the win

Public comparables in the social-and-marketing analytics category have historically traded or transacted at revenue multiples that, applied to even modest scale, produce meaningful enterprise outcomes. The path to that outcome requires priced growth capital, named customer references, and a defensible answer to the LLM-commoditization question.

Data Accuracy: YELLOW -- Scenarios grounded in cited revenue and positioning; multiples and outcome ranges are illustrative scenarios rather than disclosed forecasts.

Sources

1. [Tellagence] Tellagence homepage | https://www.tellagence.ai/
2. [Tellagence] Pricing - Tellagence | https://www.tellagence.ai/pricing
3. [Tellagence] Privacy Policy - Tellagence | https://www.tellagence.ai/privacy-policy
4. [Tellagence] Contact - Tellagence | https://www.tellagence.ai/contact
5. [LeadIQ] Tellagence Email Formats and Email Address Examples | https://leadiq.com/c/tellagence/5a1d8a69240000240063c3cf/email-format
6. [ZoomInfo] Tellagence - Overview, News and Similar companies | https://www.zoominfo.com/c/tellagence/355060182
7. [Dealroom] Tellagence company information, funding and investors | https://app.dealroom.co/companies/tellagence/team
8. [Tracxn, 2025] Tellagence - 2025 Company Profile, Team and Competitors | https://tracxn.com/d/companies/tellagence/___CNxDirxcLpa3EpKe9U_Hx5gDn9zalvlb4iE_-YeAhE
9. [LinkedIn] Matt Hixson - CEO and Co-Founder at Tellagence | https://www.linkedin.com/in/matthixson/
10. [Topio Networks] Matt Hixson, Co-Founder and CEO, Tellagence | https://www.topionetworks.com/people/matt-hixson-54c27024ae69d7db54007a38
11. [Forbes, 2018] Dr. Ann Cavoukian: Why Big Business Should Proactively Build for Privacy | https://www.forbes.com/sites/cognitiveworld/2018/08/17/ann-cavoukian-why-big-business-should-proactively-build-for-privacy/
12. [LinkedIn] Shreeya Verma Kathuria, Ph.D. - Tellagence | https://www.linkedin.com/in/shreeyakathuria/
13. [GetLatka, 2024] How Tellagence hit $1.4M revenue with a 17 person team in 2024 | https://getlatka.com/companies/tellagence#team
14. [ZoomInfo] Shreeya Kathuria - Principal Data Scientist at Tellagence | https://www.zoominfo.com/p/Shreeya-Kathuria/5174144883
15. [RocketReach] Shreeya Kathuria - Tellagence Principal Data Scientist | https://rocketreach.co/shreeya-kathuria-email_121058679