Problem/Solution Report

Satellite operations—especially in LEO with frequent, short communication windows—often run reactively. Link degradation or failure can be discovered only after data loss, forcing emergency handoffs, rushed rescheduling, and intensive manual intervention to salvage downlinks. Environmental variables (weather, atmospheric effects), antenna issues, and dynamic operations complicate proactive planning, leading to missed passes, underutilized ground‑station capacity, and avoidable data loss. This reactive model inflates operational cost and risk and strains mission operations teams.

Constellation’s solution introduces a predictive layer for mission assurance. By continuously analyzing environmental data, antenna telemetry, and historical link performance, the platform forecasts when and where satellite links are likely to degrade or fail—before the failure impacts a mission. These predictive insights allow operators to shift from reactive incident response to proactive ground‑station scheduling, rerouting, or rescheduling to preserve downlink performance and data delivery.

The value proposition is threefold: higher link reliability (fewer missed passes and packet loss), improved ground network utilization (smarter scheduling across available sites), and reduced manual overhead (less firefighting during critical passes). The company explicitly positions itself as augmenting existing operations and ground networks rather than providing ground‑station infrastructure. The approach is particularly valuable for LEO and multi‑pass missions where timing, weather, and operational variability amplify risk and complexity.

Early public mentions indicate Constellation has been testing with defense and industrial partners—suggesting a go‑to‑market that prioritizes high‑stakes, data‑reliant operations where mission assurance can quickly translate into measurable reliability and cost benefits.

Market & Competitors Report

Market trends: The ground segment is rapidly shifting to software‑defined, cloud‑integrated, and automation‑first architectures. Analysts highlight the rise of GSaaS, federated ground networks, and virtualization that make ground access elastic and usage‑priced. This shift favors software layers that optimize scheduling, resilience, and mission assurance on top of both private and third‑party ground networks. Growth is propelled by NGSO constellations, surging data demands, and defense modernization, while constraints include broadcast declines and persistent cost/complexity in legacy stacks.

Competitive landscape (selected):

• Cognitive Space (AI ops automation): Offers AI‑powered satellite fleet management with automated collection planning, dynamic rescheduling, and multi‑GSN pass scheduling. Reported performance claims include 87% time savings per operator per week and 4x gains over a greedy heuristic in dense‑collection scenarios—positioning it as a leader in intelligent constellation operations.
• Quindar (unified mission operations): A cloud‑native, automation‑first platform spanning planning, flight dynamics, command‑and‑control, event management, and portal access. Quindar Plan explicitly targets autonomous mission planning and contact scheduling to reduce antenna costs and operator workload.
• Epsilon3 (operations execution and TT&C): An interoperable, procedure‑execution and ops platform that integrates TT&C and supports the full mission lifecycle, with real‑time telemetry checks, versioned procedures, and compliance/audit features—often used across AIT and operations.
• Infrastructure and GSaaS providers: AWS Ground Station (fully‑managed satellite communications service), Kratos OpenSpace (industry’s only commercially available, fully software‑defined satellite ground system), ATLAS Space Operations (Freedom Ground Software as a Service – “integrate once, access everything”), Leaf Space (Leaf Line GSaaS with a global owned/operated network), RBC Signals (GSaaS with usage‑based pricing). These vendors focus on ground access and orchestration; some emphasize software‑defined and API‑first capabilities, while others provide networks at scale.

Constellation’s positioning and differentiation: Constellation emphasizes predictive mission assurance—specifically forecasting link degradation/failure and proactively directing scheduling/rerouting to preserve data delivery. That focus complements both ops‑automation platforms (e.g., Cognitive Space, Quindar) and GSaaS providers (e.g., ATLAS, Leaf Space, RBC, AWS GS), because Constellation’s value increases when embedded into contact planning across multiple ground stations and variable conditions. Its wedge is the predictive analytics layer for risk‑aware, reliability‑first scheduling—less about being the ground network or the complete mission control suite, and more about preventing link‑related data loss and operational fire drills. Potential challenges include early‑stage scale (small team), enterprise sales cycles, and the need for quality telemetry/environmental data access and secure integrations; however, the technical fit with defense and commercial operators seeking resilience and lower ops overhead aligns well with broader ground segment trends toward AI‑driven autonomy.

Founders & Background Report

Constellation is an AI-powered software company focused on “AI for satellite mission assurance,” founded in 2025 and based in the Seattle area. The company was selected for Y Combinator’s Winter 2026 batch. Public company-facing profiles describe a lean early-stage team (2–10 employees) building software to improve the resilience and predictability of satellite communications and operations.

The company lists four active founders on its Y Combinator profile: CEO Kamran Majid, and co‑founders Laith Altarabishi, Raaid Kabir, and Omeed Tehrani. YC highlights that Constellation’s focus is AI for satellite mission assurance, and notes Majid’s background at SpaceX and NASA. A GeekWire “Startup Radar” profile adds further color: Constellation’s software predicts impending ground connection failures and automatically reroutes data, with early testing alongside defense and industrial partners. That piece also states that Majid previously worked as a software engineer at SpaceX and at Xplore.

CEO and co‑founder Kamran Majid’s public profiles corroborate relevant experience and education. Aggregated professional listings indicate he served as a Software Engineer at SpaceX (including a prior internship), completed software engineering internships at NASA and Capital One, and earned a B.S. in Computer Science and Philosophy from the University of Illinois Urbana‑Champaign. His current role is Founder and CEO at Constellation Space, based in the Greater Seattle area.

Co‑founders include Laith Altarabishi and Omeed Tehrani, both described as software engineers (Capital One) on YC’s founder roster, and Raaid Kabir, described by media as a former engineer with Prudential Financial and Blue Origin. Given the company’s nascent stage, detailed biographies beyond these sources are limited publicly; however, the leadership’s combined backgrounds span space systems software, large‑scale engineering, and applied AI for operations—experience well‑aligned with the mission assurance domain Constellation targets.