The Venture Codex

Participated · Equity · Jun 2026

Neurometric builds an automated token engineering platform that evaluates individual model calls, modifies prompts, routes tasks to the most cost-effective models, and creates specialized small language models when needed. Its Task Endpoint Manager continuously updates model performance and pricing data to meet customer accuracy, cost, and latency requirements, and its Auto-SLM Creator generates purpose-built SLMs for recurring workloads. The platform also includes a marketplace of pre-trained task-specific SLMs for common workloads. Neurometric reports that routed or created models in early customer engagements have outperformed frontier models by as much as 20 accuracy points while reducing cost and latency. The company launched the platform publicly and closed $4 million in funding earlier this year. Neurometric plans to use the funding to expand its engineering and AI research teams and to add more optimization tools to the core platform.

Participated · Seed · Jul 2024

Lekko is a San Francisco-based company that provides dynamic configuration tools enabling developers to apply configuration in real time through existing workflows. Led by CEO and founder Konrad Niemiec, the platform is designed to let customers migrate from existing feature flagging tools. It includes native observability and AI-assisted workflows to keep code clean and help teams avoid dangerous configurations. The solution also offers granular permissions controls that empower platform teams to specify who can roll out specific configurations and features to select customers. Lekko raised $4.5M in Seed funding and intends to use the proceeds to expand operations and its development efforts. The round was led by Addition and LUX Capital, with participation from BoxGroup, SV Angel, Abstraction Capital and angel investors including Thomas Chen, Julianna Lamb and Peter Edge.

Participated · Seed · Sep 2023

Digma provides a continuous feedback platform that analyzes code at runtime to find regressions, anomalies, code smells and other patterns to flag to developers. The platform is designed to help prevent bad code, including code generated by GenAI, from making it to production. Digma integrates code insights into IDEs and developer tools so issues can be addressed in real time. The product focuses on surfacing actionable runtime analysis to improve code quality and catch regressions earlier in the development cycle. Digma is based in Santa Clara, California. The company announced a $6.0M seed financing in September 2023.

Participated · Seed · Jul 2022

Quiltt builds low-code fintech infrastructure—APIs plus no-code UI modules—that enable startups and small businesses to create and integrate financial services without large engineering teams. Its platform includes integrations with providers such as Plaid, Spade and ApexEdge, and centers on a data engine and actionable APIs. The company is adding billing and subscription management and plans to let users start with white-label apps and transition to more specialized offerings while keeping the same backend. Quiltt launched a public beta aimed at startups and small businesses after working with eight customers over the past year, some of which are in production or have raised funding themselves. The company was founded by Ruben Izmailyan and Mark Bechhofer, is based in Dallas, and had operated as a lean four-person team prior to the recent financing. Quiltt closed $4 million in seed funding in the first quarter of this year after previously bootstrapping; the service is free for now but the company plans an infrastructure-as-a-service tier with fees. The new funding will be used to add engineering resources and further develop the platform.

Participated · Seed · Mar 2022

Athenian builds a product that analyzes engineering teams' delivery workflows and surfaces metrics focused on teams and events rather than individual performance. Customers connect Athenian to data sources such as GitHub, Jira and CI/CD systems; the product regularly ingests that data to construct a graph of events from planning through customer feedback. The platform segments the pipeline into categories like “plan and design,” “review” and “release,” showing release frequency, outstanding bugs and other high-level metrics. It also offers tooling to track bug priority and status changes, monitor build failure rates over time and identify CI/CD bottlenecks to improve throughput and limit technical debt. Founder and CEO Eiso Kant built the product to avoid the individual-surveillance feel of some competitors and to emphasize team-level insights. The company announced a $6 million seed round to fund growth as it pursues the ambition of becoming a Datadog-sized business.