Welcome to our dedicated page for Innodata news (Ticker: INOD), a resource for investors and traders seeking the latest updates and insights on Innodata stock.
Innodata Inc. reports developments around its global data engineering business and its services for artificial intelligence builders and adopters. The company provides data, evaluation frameworks, human expertise, annotation, multimodal data engineering, training-data preparation and generative-AI workflow support for customers deploying AI systems.
Recurring updates include quarterly financial results, revenue-growth guidance, margin commentary, customer and platform work, and contract awards tied to AI, data engineering and federal programs. Company announcements also cover its move to single operating-segment reporting, annual shareholder meeting matters and other public-company governance updates.
Innodata (NASDAQ: INOD) reported record Q2 2026 results for the quarter ended June 30, 2026, with revenue of $92.1 million, up 58% year-over-year and above analyst consensus by 7%. Adjusted Gross Profit was $45.4 million, yielding an Adjusted Gross Margin of 49%, while Adjusted EBITDA reached $25.4 million (27.5% of revenue), up from $13.2 million a year earlier. Net income rose to $14.4 million ($0.43 basic, $0.41 diluted) versus $7.2 million in Q2 2025.
Cash, cash equivalents and short-term investments totaled $250.4 million, up from $82.2 million at year-end 2025; net of customer prepayments for pass-through costs, cash was about $134 million. The company reiterated its full-year 2026 revenue growth guidance of 40% or more. Customer concentration shifted, with the largest customer contributing 37% of revenue (down from 56% in Q1) and a Big Tech customer rising to 34%.
Innodata also announced a planned leadership transition effective September 30, 2026, with Rahul Singhal becoming President and CEO and joining the board, and founder Jack Abuhoff moving to Executive Chairman. The company highlighted ongoing research-driven growth, including new AI programs and benchmarks, and noted recent appointments of Jayant Chauhan as Chief Financial Officer and Mariz Espineli as Chief Accounting Officer.
Innodata (Nasdaq: INOD) launched the first stage of its AI Cyber Training Suite, comprising twelve datasets and evaluation systems designed to train AI coding agents to write secure code and repair existing vulnerabilities. The suite is available immediately to model builders and enterprises.
Built from thousands of real-world security flaws across languages such as Python, TypeScript, JavaScript, Rust, C, and Go and platforms including Linux, macOS, Android, Windows, AWS, and GCP, each flaw was reconstructed with targeted attacks in sealed offline environments. According to Innodata, fine-tuning an open-weight model on part of this data increased its autonomous vulnerability patch rate from 18.4% to 41.2%, while leading open-weight models previously repaired at most 23% of verified flaws even when guided.
Innodata (NASDAQ: INOD) announced it will release its Second Quarter 2026 financial results after the market close on Thursday, August 6, 2026. The company will host an investor conference call at 5:00 PM ET, with dial-in and webcast access provided via its Investor Relations website.
Innodata (Nasdaq: INOD) appointed Jayant Chauhan as Executive Vice President and Chief Financial Officer, effective July 6, 2026. Interim CFO Marissa Espineli will become Chief Accounting Officer, reporting to Chauhan.
Innodata reaffirmed its full-year 2026 revenue growth outlook of approximately 40% or more year-over-year, up from prior guidance of about 35% or more.
Innodata (Nasdaq:INOD) reported record Q1 2026 results on May 7, 2026: revenue $90.1M (+54% YoY), adjusted gross margin 47%, adjusted EBITDA $25.0M (28% of revenue) and net income $14.9M ($0.46 basic). Cash and short-term investments were $117.4M at quarter-end; credit facility extended to $50M, undrawn.
The company raised full-year 2026 revenue growth guidance to ~40%+ and announced new Big Tech engagements expected to generate ~$51M in 2026. The firm moved to single-segment reporting and launched a beta Evaluation and Observability Platform with initial $1M platform engagement.
Innodata (Nasdaq: INOD) will report First Quarter 2026 results after market close on Thursday, May 7, 2026. A news release and investor materials will be posted to the company's Investor Relations site.
An investor conference call is scheduled for 5:00 PM ET on May 7, 2026 with live webcast (listen-only). Call replay is available seven days; webcast replay for 30 days.
Innodata (Nasdaq:INOD) announced its 2026 annual meeting of shareholders will be held virtually on Thursday, June 4, 2026 at 5:00 PM ET. Shareholders of record as of the close of business on April 8, 2026 are eligible to vote.
Innodata (Nasdaq: INOD) reported Q4 2025 revenue $72.4M (+22% organic YoY) and FY 2025 revenue $251.7M (+48% YoY). FY adjusted EBITDA $57.9M (+68% YoY); Q4 adjusted EBITDA $15.7M. Cash and short-term investments were $82.2M at year-end vs. $46.9M a year earlier. The company expects ~35%+ revenue growth in 2026 and highlighted dataset, evaluation, and automation innovations for LLMs, agents, and physical AI.
INNODATA (Nasdaq:INOD) will report Fourth Quarter and Fiscal Year 2025 results after market close on Thursday, February 26, 2026. A news release will be posted online and an investor conference call is scheduled for 5:00 PM Eastern that day.
Live listen-only webcast and telephone access details, replay phone numbers and passcodes are provided; webcast replay will be available for 30 days and phone replay for seven days.
Innodata (Nasdaq:INOD) said it was selected by Palantir Technologies to provide specialized annotation, multimodal data engineering, and generative-AI workflow support for rodeo event analytics. Innodata will process thousands of hours of rodeo video and multimodal sensor data to enable computer vision models that detect animals, riders, and skeleton joints.
The engagement embeds Innodata teams within Palantir development and deployment workflows, emphasizing scale, precision, and security for customer use cases and reinforcing Innodata's role as a trusted data engineering partner.