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"A logical conclusion or consequence of facts." - Wiktionary
Transform your operational data into actionable intelligence, streamline HR, fortify cybersecurity, or gain game-changing insights—unleash AI on your data with SEQUITUR.
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Enabling AI on enterprise data turns proprietary assets—customer records, sales metrics, and domain knowledge—into a major competitive advantage. Grounded AI provides far more accurate, relevant insights than public-data models alone, revealing patterns, speeding decisions, personalizing experiences, optimizing operations, and cutting human review costs. Companies that leave rich internal data siloed miss huge value, while those that activate AI against it quickly pull ahead in performance, efficiency, and lasting advantage.
Leverage advanced AI inference directly on your private corporate, sales, marketing, and product data—keeping everything secure within your environment without sending sensitive information to external servers. Analyze patterns, trends, customer behaviors, pipeline dynamics, campaign performance
Apply powerful AI inference securely on your private HR, employee, and workforce data —analyzing performance metrics, engagement surveys, turnover patterns, recruitment pipelines, compensation structures, and talent development records without ever leaving your environment.
Apply advanced AI inference securely on your private security logs, network traffic metadata, identity and access events, vulnerability scan results, incident tickets, and threat intelligence feeds—processing everything entirely within your controlled environment without exposing sensitive data externally
AI without access to your actual enterprise data relies solely on its general training, so it often hallucinates or gives confidently incorrect answers when dealing with company-specific facts, proprietary processes, internal metrics, customer details, or recent/unpublished events. Without grounding in real data, the model fills gaps with plausible-sounding but fabricated information, leading to errors, bad decisions, compliance risks, and lost trust.
Using public LLMs with private enterprise data is unsafe because your sensitive information—customer records, IP, financials, trade secrets—gets sent to third-party servers, where it can be logged, stored, used for model training (intentionally or via data leaks), or accessed by the provider’s staff. This creates irreversible exposure risks: compliance violations (GDPR, HIPAA, DLP rules), competitive leakage, IP theft, and potential future model poisoning or inversion attacks that reconstruct your data. Once uploaded, you lose control forever.
Widespread, uncontrolled use of AI chatbots by employees is risky because it leads to inconsistent outputs, frequent hallucinations on company-specific facts, accidental leakage of sensitive data to public models, non-compliant responses that violate regulations or brand standards, duplicated effort from reinventing answers, and scattered tribal knowledge that’s impossible to govern, audit, or improve—turning a powerful tool into a source of hidden errors, legal exposure, and lost institutional control.
SEQUITUR provides reusable, shareable expert prompts for dashboards, reports, and workflows unleash AI on enterprise data by standardizing high-quality, grounded queries—eliminating hallucinations, inconsistent answers, and errors. A governed prompt library scales vetted expertise organization-wide, ensures compliance and consistency, cuts redundant engineering, accelerates adoption, and improves continuously—turning chaotic AI use into reliable, enterprise-grade intelligence.
Our Outcome Focused approach ties into our Outcome based Pricing to ensure our customer only pays for what they want. There is no manual hand-offs between teams or to third party service delivery organizations. We ensure success by engaging the same team from solution scoping, proving concept, deploying and building out solution all the way to go-live.
Outcome-based delivery models tie our success directly to measurable business results rather than traditional fixed-fee, seat-based, or subscription approaches that charge for access, time, or usage regardless of impact. This creates perfect incentive alignment: we only win when the customer does, driving deeper commitment, faster iteration, higher accountability, lower adoption risk (customers pay only for proven value), stronger trust through clear ROI, reduced chance of under-delivery, and dramatically superior outcomes in AI and enterprise solutions compared to misaligned legacy methods where vendors get compensated even if results fall short.
Outcome-based pricing combined with embedded engineers guarantees the highest success because the our revenue depends directly on measurable business outcomes—aligning incentives perfectly so that we can't succeed unless the customer does. Embedded engineers integrate deeply into your team, gaining intimate knowledge of your workflows, data, constraints, and goals to customize, troubleshoot, iterate, and optimize the SEQUITUR solution in real time—far beyond generic implementations. This hands-on, accountable delivery minimizes risks, accelerates value realization, eliminates "it works on paper but not here" failures, and drives continuous improvement until targets are hit, creating unbreakable alignment and dramatically higher success rates than traditional fixed-fee or seat-based models.
An Embedded Engineer starts in the pre-sales cycle, collaborating closely with your team to deeply understand business goals, data landscape, workflows, and constraints—ensuring accurate solution design, realistic scoping, and a tailored proposal that aligns incentives from day one. They then lead delivery, embedding full-time within your organization to build, integrate, customize, and iterate the SEQUITUR AI solution hands-on. They drive testing and validation against real outcomes, rapidly resolving issues and refining performance. Finally, they provide ongoing maintenance, continuously optimizing, monitoring drift, incorporating new data/use cases, and ensuring sustained value—creating seamless, accountable partnership throughout the entire lifecycle rather than a typical hand-off model.
Pay only based on how much you use. Buy usage credits using Credit Card or Cash App. Usage is counted from input and output tokens.
Annual contract value payable by solution delivery and sign off. Typically delivered by Embedded Engineer within a month or less.
ACV covers beginning of sales cycle to solution delivery and annual maintenance cost.
Annual contract value payable by solution delivery and sign off. Typically delivered by Embedded Engineer within 1 - 3 months depending on number of datasets.
ACV covers beginning of sales cycle to solution delivery and annual maintenance cost.
Annual contract value payable by solution delivery and sign off. Typically delivered by Embedded Engineer within N months whereby N represents the number of datasets enabled and their complexities.
* All prices are in USD
Please reach us at de@2ndthoughts.ai if you cannot find an answer to your question.
SEQUITUR supports directly Importing your data from Comma Separated Values (CSV) files, Excel spreadsheet files, or MySQL dump files. We can also connect directly to your MySQL database or Snowflake data warehouse. Your data will be presented as a Dataset that you may select and ask questions, create dashboards and analysis reports.
Additionally, an ETL script can be deployed to create or update the dataset via downloads or API calls.
In an Enterprise environment, SEQUITUR can be deployed directly into your Amazon AWS Virtual Private Cloud and directly connect to your private database.
Your imported data is never shared nor accessible by users you do not allow access to. For further security, we can always deploy into your Virtual Private Cloud (VPC) environment in AWS.
Additionally, your data is never directly exposed to the underlying Large Language Model (LLM), neither in training, nor in inference. You may also use your own Enterprise LLM API keys. We currently support Grok and OpenAI.
Yes, please contact demo@2ndthoughts.ai through an email request for your situation and we can help you achieve your demo goals.
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