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Tektonic AI

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Agent builderindependentVerified 2026-07-01

Seattle startup building neuro symbolic generative AI agents for sales and revenue operations, combining foundation models with symbolic rule enforcement to automate quoting, renewals, and data work under human supervision.

Tektonic AI is a Seattle company building generative AI agents for business operations, initially focused on sales and revenue operations. It was co founded by chief executive Nic Surpatanu, who held leadership roles at Microsoft, UiPath, and Tanium, and David Hsu, an engineering leader from Google and Meta, and it was conceived and incubated at Madrona Venture Labs. Tektonic raised ten million dollars in seed funding led by Point72 Ventures and Madrona, and it targets enterprises with more than fifty million dollars in revenue that struggle with slow, manual, multi system work like quoting and renewals.

What distinguishes Tektonic is its neuro symbolic architecture. It combines foundation models, which extract entities and understand a user's intent expressed in natural language, with symbolic artificial intelligence that applies business rules and constraints. The result is agents that both understand what a person wants and adhere to the specific, often dynamic rules of that business, delivering controllable and accurate outputs. This directly addresses the reliability problem that causes fully autonomous agents to compound mistakes when left unsupervised on complex work.

Tektonic takes a deliberately human centered stance. Its chief executive argues that current models are not reliable enough for fully autonomous operation, so employees stay in the loop, providing feedback, making decisions, and supervising, while agents remain constrained by business rules and paired with deterministic software. Agents connect natively to Salesforce and HubSpot and to financial, marketing, email, and Slack systems through application programming interfaces, then autonomously handle quoting, renewals, customer relationship management cleanup, data enrichment, and pipeline work, escalating to humans when a case needs judgment.

Governance is a first principle. Teams retain complete control by defining process specifications, business rules, data access and sources, model selection, deployment locations, and the actions agents may take, and agents will not use data beyond the scope of the business. Tektonic is SOC 2 compliant with user level access controls, currently installs as a container inside a customer's virtual private cloud, and offers a library of prebuilt sales and success agents plus dashboards on agent performance. Its main gaps are a first class persistent memory and general computer use.

Vendor details

Canonical URL

https://tektonic.ai

Company status

independent

Use cases & customers

In practice

A sales rep spends most of their week on back office work. A Tektonic agent assembles an upsell quote by pulling configurations across multiple systems, testing discounts against finance rules, and checking prior contracts, turning days of manual work into minutes.

A revenue team's data is a mess of duplicate and stale records. Tektonic agents enrich and validate customer, supplier, and contact data across connected systems, improving forecast accuracy while enforcing the business rules that govern each field.

A renewal needs handling but has an unusual edge case. The agent, constrained by business rules and deterministic software, completes the routine parts autonomously and escalates the ambiguous decision to a human with full context attached.

Sources & related URLs

Research notes

GenAI agents for business/RevOps operations. Seattle. Founders Nic Surpatanu (CEO, ex-Microsoft/UiPath/Tanium) + David Hsu (ex-Google/Meta). $10M seed (Point72 Ventures + Madrona; incubated at Madrona Venture Labs). Targets $50M+ revenue enterprises. NEURO-SYMBOLIC: foundation models (entity extraction/intent) + symbolic AI (business-rule application) + open models (lower-level actions). RevOps focus: quoting, renewals, CRM cleanup, data quality/enrichment, pipeline forecasting, lead-qual, outreach, account mgmt, customer self-service. HITL=F (standout): symbolic AI ENFORCES business rules at runtime ('constrained by business rules, paired with deterministic software', 'apply/adhere to business rules', 'operate within boundaries', 'will not use data beyond scope') + supervision (employees provide feedback/decisions/supervise) + escalate-to-human. CEO: current models NOT reliable for fully-autonomous — humans stay in loop; targets 50%→80% automation. Orch=F (autonomous multi-step RevOps: quoting/renewals/enrichment across systems). Governance-forward: teams define process-specs/business-rules/data-access/MODEL-SELECTION/deployment-locations/allowed-actions. Int=P (native Salesforce/HubSpot + financial/marketing/email/Slack via API). Dep=P (installs as CONTAINER in customer's VPC per TechCrunch; future SaaS). Sec=P (SOC 2 compliant + user-level access controls; single cert). Model=P (customer model-selection + foundation+open models). Pack=P (library: outbound/inbound/pipeline/account-mgmt agents). Eval=P (symbolic runtime-validation of outputs + perf-dashboards). 2 N's: Mem=N (context-adapt but no persistent memory; explicitly scope-limits data), Comp=N (API-based, not screen automation). Analytics dashboards (response-rates/meetings/agent-perf). Early-stage (design partners, coming out of stealth 2024). Broad-but-shallow (10 P's). Pricing: official tiered quote-based enterprise (sales_led); a 3rd-party listing claims free-trial+Pro $49.99/mo but that contradicts enterprise-VPC-container + $50M-revenue-target, so NOT surfaced. Domain tektonic.ai. Score 7.0 (2F/10P/2N).

Capability coverage

7.0 / 14 capabilities · 50%

Integrations & Tool CallingTektonic natively connects to Salesforce, HubSpot, financial and marketing systems, email, and Slack through application programming interfaces to synchronize and act on revenue data, real multi system integration short of a documented broad connector library, so partial.	Partial
Workflow OrchestrationTektonic autonomously plans and executes complex multi step revenue processes like quoting, renewals, and data enrichment, synthesizing information and taking actions across multiple systems, so full.	Full
Knowledge Grounding & RAGTektonic synthesizes and grounds in data across a customer's connected systems using foundation models for entity extraction to deliver contextual insights, real grounding short of documented citation grounded retrieval, so partial.	Partial
Human Oversight & GuardrailsTektonic pairs agents with symbolic deterministic software that enforces business rules at runtime, keeps employees supervising and providing feedback, and escalates cases that need human judgment, so full.	Full
Security, Identity & GovernanceTektonic is SOC 2 compliant with user level access controls and deploys inside a customer's virtual private cloud, a solid security posture short of the comprehensive named certifications and identity governance that would earn full, so partial.	Partial
Observability & AuditabilityTektonic provides detailed dashboards on agent performance and engagement and emphasizes transparent, controllable operation, real observability short of a documented full per action agent decision audit trail, so partial.	Partial
Memory & State PersistenceTektonic agents adapt to business context and new information, but a first class persistent cross session agent memory could not be verified.	Unable to verify
Deployment & Data ResidencyTektonic currently installs as a container inside a customer's own virtual private cloud and lets teams define deployment locations, real private deployment short of documented self host or on premises options, so partial.	Partial
Prebuilt Agents, Templates & PacksTektonic offers a library of prebuilt sales and success agents for outbound, inbound follow up, pipeline progression, and account management that teams can customize, a real prebuilt library short of a broad browsable marketplace of cloneable agents, so partial.	Partial
Triggers & Channel CoverageTektonic agents operate from email inboxes to send, reply, and follow up on both outbound and inbound revenue conversations with rules defining when they engage, real triggering and outbound reach short of broad omnichannel coverage, so partial.	Partial
Model Flexibility & RoutingTektonic lets teams define AI model selection and uses a mix of foundation and open models across tasks, real model flexibility short of a documented per task routing gateway, so partial.	Partial
APIs, SDKs & MCP ExtensibilityTektonic provides application programming interface access for custom integrations, a real extensibility surface short of a documented software development kit or Model Context Protocol server, so partial.	Partial
Testing, Debugging & OptimizationTektonic pairs agents with deterministic symbolic software that validates outputs against business rules for accuracy and tracks agent performance over time, real validation short of a documented simulation or automated evaluation framework, so partial.	Partial
Browser & Computer UseTektonic connects to systems through application programming interfaces and natural language interfaces, but general browser or computer use as a first class capability could not be verified.	Unable to verify

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Verified 2026-07-01

Data confidence: high