AI Analytics with Hallucination Free Results

Terno delivers enterprise-grade AI analytics accuracy using executable queries, a semantic layer, verification loops, and reusable apps ensuring results are precise, explainable, and hallucination-free.

How Terno Achieves State-of-the-Art Accuracy

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    Results are computed, not imagined

    Terno does not rely on AI-generated answers. Instead, the AI generates executable code (such as SQL), and the final output comes from running that code directly on your data. What you see is the result of real data execution not probabilistic text.

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      A semantic layer that speaks business

      Terno uses a semantic layer that presents your data in a clean, logical, business-friendly structure. This eliminates ambiguity, standardizes definitions, and improves precision without requiring any changes to your underlying databases.

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        Automated accuracy, not manual upkeep

        An AI agent continuously builds and updates the semantic layer. This minimizes manual effort and significantly reduces the risk of human error as your data evolves.

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          Built-in verification for trust at scale

          Every response passes through a verification loop. You can also add a dedicated verifier agent for an additional layer of confidence, ensuring outputs are reliable enough for enterprise decision-making.

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            Organization-specific knowledge

            Terno allows you to provide custom knowledge unique to your business such as internal metrics, rules, and terminology. This context sharply reduces hallucinations and ensures answers align with how your organization actually operates.

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              Apps with reusable, governed logic

              Teams can build apps inside Terno using reusable, pre-verified queries. This allows critical analyses to be standardized, shared, and reused across the organization ensuring consistent answers, faster decisions, and zero reinvention.

              img

                Results are computed, not imagined

                Terno does not rely on AI-generated answers. Instead, the AI generates executable code (such as SQL), and the final output comes from running that code directly on your data. What you see is the result of real data execution not probabilistic text.

                img

                  A semantic layer that speaks business

                  Terno uses a semantic layer that presents your data in a clean, logical, business-friendly structure. This eliminates ambiguity, standardizes definitions, and improves precision without requiring any changes to your underlying databases.

                  img

                    Automated accuracy, not manual upkeep

                    An AI agent continuously builds and updates the semantic layer. This minimizes manual effort and significantly reduces the risk of human error as your data evolves.

                    img

                      Built-in verification for trust at scale

                      Every response passes through a verification loop. You can also add a dedicated verifier agent for an additional layer of confidence, ensuring outputs are reliable enough for enterprise decision-making.

                      img

                        Organization-specific knowledge

                        Terno allows you to provide custom knowledge unique to your business such as internal metrics, rules, and terminology. This context sharply reduces hallucinations and ensures answers align with how your organization actually operates.

                        img

                          Apps with reusable, governed logic

                          Teams can build apps inside Terno using reusable, pre-verified queries. This allows critical analyses to be standardized, shared, and reused across the organization ensuring consistent answers, faster decisions, and zero reinvention.

                          Architecture of Terno

                          "Terno’s architecture blends modular intelligence with secure, semantic access to enterprise data.
                          Designed for scalability, extensibility, and precision across diverse tools and databases."

                          Terno | Metastore

                          Metastore:

                        • Keeps important business knowledge, either provided by experts or automatically learned from your data, to help generate more accurate SQL queries.

                        • Automatically keeps your data catalog up to date so you always have an accurate view of your data structure.

                        • Analyzes your data to uncover useful insights and improve the quality and relevance of the queries it generates.
                        • SQLShield:

                        • Query Sanitization: Prevents harmful SQL execution and enforces Role-Based Access Control (RBAC) without direct database interaction.

                        • Optimized Query Generation: Minimizes prompt size while boosting the efficiency of LLM-generated SQL.

                        • Enterprise Security: Guards against SQL injection and unauthorized access.
                        • Terno | Shield

                          Semantic Layer on Databases:

                        • Databases are critical for organizations but are limited to syntactic searches rather than semantic understanding.

                        • For example: searching for "blue jeans" in an e-commerce database might miss products labeled "navy denims" due to keyword-based limitations.

                        • Terno AI addresses this with a semantic layer, enabling text searches based on meaning and similarity, not just exact matches.
                        • Multi-Database Support:

                        • Terno can analyse across databases. You can add as many Database connected as you want and try analyzing multiple datasource in one query.

                        • Works with major databases like PostgreSQL, MySQL, BigQuery, and more.

                        • Also integrates with most ERPs such as Odoo.

                        • Can work with files like pdf, csv, excel, etc.
                        • Terno | Multidatabase
                          Terno | Artifacts

                          Artifact Store:

                        • Terno AI generates intermediate artifacts, such as datasets, machine learning models, code, graphs, and charts, to answer complex queries.

                        • These artifacts are saved in the Artifact Store, making them reusable across teams.

                        • This accelerates result generation and enhances data understanding within organizations.
                        • Enterprise Tooling Augmentation:

                        • Every organization has unique workflows, such as sending emails, calling internal APIs, or scheduling jobs.

                        • Terno AI offers an extensible tooling augmentation layer to integrate with these processes.

                        • For example, you can instruct Terno to: "send a report via email to my team every Monday morning."
                        • Terno | Enterprise Argumentation tool

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                          Frequently Asked Questions

                          Find quick answers to common questions

                          How is Terno AI different from ChatGPT or other AI tools?

                          Unlike generic AI models, Terno AI is built for analytics. It understands your database schema, enforces access controls, and generates highly accurate SQL queries tailored to your data. It also integrates directly with your database, allowing real-time insights.

                          Terno AI is designed for technical and non-technical business users, data teams, and decision-makers who need quick and accurate insights without relying on SQL experts or waiting for reports. It’s perfect for finance, operations, marketing, HR, ERP data analysis, etc.

                          No. Terno AI is designed to be fully no-code. Users can simply type their queries in plain English, and Terno will generate and execute the correct SQL automatically.

                          Absolutely. Terno AI is built to work with enterprise-scale databases, handling large datasets and complex joins efficiently without slowing down performance.

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